Mastering SQL Certification Series
Learn to design, manage, and utilize data systems confidently with practical SQL skills that solve real-world business challenges efficiently.
When a sales report is slow, a dashboard shows the wrong numbers, or someone asks you to pull together last quarter’s revenue by region before lunch, SQL is the tool that gets you out of the room with an answer instead of a promise. This Mastering SQL Certification Series is built for exactly that kind of work: helping you move from “I can run a query” to “I can design, manage, and use data systems with confidence.” I built this course to give you the practical command of SQL Server and business intelligence concepts that employers actually care about, not just the syntax you memorize on a whiteboard.
This is an on-demand course, so you learn on your schedule and you move at the pace that makes sense for you. That matters, because SQL is one of those skills you cannot fake in production. If you do not understand joins, indexing, stored procedures, data modeling, or how reporting tools consume data, the mistakes show up fast and usually at the worst possible moment. Here, you work through the core ideas in a way that connects the language, the server, and the business problem it solves.
What this course is really teaching you
This series is about control. Control over data structures, control over how information is retrieved, and control over how business users experience that data in reports and dashboards. You are not just learning to write SELECT statements. You are learning how SQL Server is used in real environments to store, secure, query, and serve data that supports decision-making.
That means you will spend time on the skills that matter most in day-to-day work:
- Writing accurate queries that return the right data without guesswork
- Understanding how tables relate to each other through keys and joins
- Creating and maintaining database objects such as views, stored procedures, and indexes
- Working with business intelligence and reporting concepts so data can be consumed cleanly
- Managing SQL Server in a way that supports performance, reliability, and growth
- Thinking like a database professional, not just a script writer
The reason I emphasize this distinction is simple: a query that works is not necessarily a query that belongs in a production system. You need to know when to use a subquery, when a join is cleaner, how to structure a report-friendly dataset, and when performance issues are likely to show up. Those are the habits that separate a beginner from someone a team can trust.
Why SQL Server still matters in business intelligence
SQL Server remains one of the most common platforms behind operational reporting, analytics, and line-of-business applications. You see it behind finance systems, HR platforms, sales reporting, inventory tracking, and executive dashboards. If a company depends on clean internal reporting, there is a strong chance SQL Server is part of the stack.
Business intelligence work depends on trustworthy data, and trustworthy data depends on well-built database systems. If the schema is sloppy, the reports become messy. If the queries are inefficient, users wait. If the data model is unclear, departments create their own “truth,” which is another way of saying nobody agrees on the numbers. This course helps you build the discipline needed to avoid those problems.
You will also see how SQL supports BI tooling and reporting workflows. In the real world, data rarely goes straight from table to dashboard without transformation. It is filtered, aggregated, joined, cleaned, and shaped so the people reading the report can make decisions quickly. That is where a strong SQL foundation pays off immediately.
In business intelligence, the best-looking dashboard in the world is useless if the query underneath it is wrong. SQL is where accuracy starts.
Core skills you will build in the series
This course is designed to give you both breadth and depth. Breadth matters because you need to understand the full workflow. Depth matters because employers expect you to solve real problems, not just define terms. By the end of the series, you should be able to approach a database task with a clear method instead of trial and error.
Here are the major skill areas you will develop:
- Database fundamentals, including tables, relationships, and normalization concepts
- SQL query writing for filtering, sorting, grouping, and aggregating data
- Join logic, including inner, outer, self, and cross join scenarios
- Data manipulation with INSERT, UPDATE, DELETE, and MERGE-style operations
- Programming logic in SQL Server using variables, conditionals, and procedural code
- Working with views and stored procedures to support reusable data access
- Performance awareness through indexing concepts and query tuning basics
- Security and administrative considerations for managing databases responsibly
- Reporting and BI-oriented thinking so you can build data consumers, not just data storage
You should expect to spend real time thinking through the data itself. That is the right way to learn SQL. The language is straightforward; the challenge is learning how to ask better questions of the data. Once you can do that, you become much more useful to your team.
What you will understand about SQL Server administration
Many students come to SQL from an analyst or developer perspective and eventually discover they also need to understand how the server behaves. That is where this series becomes especially valuable. It does not treat SQL Server like a black box. Instead, you will learn enough about administration to understand how the environment affects your work.
That includes topics such as database configuration, object management, and the operational side of keeping systems usable. You do not need to become a full-time database administrator to benefit from this material. In fact, that is the point: developers, analysts, and BI professionals all make better decisions when they understand what lives underneath the query window.
When you know how indexing affects retrieval, why certain queries become expensive, and how database design influences performance, you stop creating avoidable problems. You also communicate more intelligently with DBAs and system administrators, which is an underrated career skill. Teams move faster when people understand each other’s constraints.
Business intelligence and reporting: where SQL becomes visible
SQL is often invisible to end users, but BI is where the value shows up on screen. Reports, dashboards, scorecards, and operational summaries all depend on the quality of the underlying queries and data structures. This course gives you the perspective you need to support that layer properly.
You will learn how data is shaped for reporting, how summary queries differ from transactional queries, and why reporting systems usually need clarity more than cleverness. A reporting query should be readable, maintainable, and accurate. If a user questions a metric, you should be able to trace it back through the query and explain how it was built.
This is especially important in roles where you support leadership reporting. Executives do not want a lecture about syntax. They want the right number, on time, with the confidence that it means what it says. If you can build that reputation, you become valuable quickly.
Typical BI-related outcomes from this training include:
- Creating datasets suitable for dashboards and operational reporting
- Designing queries that roll data up by time, geography, product, or department
- Understanding how source data impacts downstream business decisions
- Supporting ad hoc analysis requests without breaking existing logic
Who should take this course
This series is ideal if you are starting to work with data in a structured environment, or if you already use SQL but want to become significantly better at it. I especially recommend it for people who are moving into roles where database literacy matters more than they expected.
Common job roles that benefit from this training include:
- Database Administrator
- SQL Developer
- Business Intelligence Analyst
- Data Analyst
- Reporting Analyst
- Application Support Specialist
- Systems Analyst
- Junior Data Engineer
If you already work in IT, this course helps you become the person who can investigate data issues instead of passing them along. If you work in analytics, it helps you build cleaner queries and stronger reporting logic. If you are coming from application support or infrastructure, it gives you a practical path into data work without pretending database skills are optional.
There is also strong value for managers and technical leads who need to understand what their database teams are doing. You do not need to become a SQL specialist overnight, but you do need enough fluency to make informed decisions. This series gives you that fluency.
Prerequisites and the mindset that helps you succeed
You do not need to arrive as an expert. You do need to be willing to think carefully and work methodically. SQL rewards precision. If you are comfortable following logic, checking your results, and revising your work when the data proves you wrong, you will do well here.
A basic familiarity with file systems, applications, and common IT concepts helps, but the more important prerequisite is curiosity. You should be willing to ask questions like: Why did this join duplicate rows? Why is this report slower than expected? Why does this grouping not match what finance is using? Those questions are the real job.
To get the most from the series, it helps if you are willing to:
- Practice queries instead of only watching them
- Check output carefully and compare results to expectations
- Learn the reasoning behind each SQL construct
- Accept that small syntax mistakes can create big logic errors
- Keep performance and readability in mind, not just correctness
I tell students this often: if you can explain your query to another person, you understand it. If you cannot explain it, you probably copied it. That is not enough for professional work.
How this training supports certification and career growth
If you are using this course as part of a certification path, the value is in how it prepares you to think like the exam writers expect and like employers expect. The strongest candidates do not memorize isolated facts; they understand how SQL concepts work together under pressure. They know how to read a scenario, identify the problem, and apply the right database technique.
Even when a course is not tied to a single exam, SQL training supports certifications and professional development in several adjacent areas. It strengthens your ability to work with database-related content, BI workflows, and data administration topics. That makes you more competitive in interviews and more confident in technical conversations.
Career-wise, the impact can be immediate. A person who can produce reliable queries, understand relational design, and communicate about performance issues is far more useful than someone who only knows the basics. In many organizations, that difference can affect your ability to move into higher-responsibility roles, including senior analyst work, database support, BI development, and data operations.
Salary ranges vary by location and experience, but SQL-capable roles often sit in the middle of strong technical pay bands. In the United States, for example, data analysts, BI analysts, and SQL developers often move from roughly the low $60,000s into well over $100,000 as experience grows, especially when paired with reporting, cloud, or administration skills. The exact numbers depend on geography and specialization, but SQL remains one of the most reliable leverage points in tech careers.
What makes the course practical instead of theoretical
I built this series to help you work, not just study. That means the explanations are tied to the kinds of tasks you actually see in a company environment: pulling records, summarizing sales, checking data quality, supporting reports, and maintaining database objects that other people depend on.
Practical SQL learning should answer questions like these:
- Which query gives me the correct result set with the least confusion?
- How do I avoid returning duplicate or misleading rows?
- When should I use a view versus a stored procedure?
- Why is this query slow, and what change will help most?
- How do I structure data so reporting becomes easier later?
That practical emphasis is not optional. In the field, SQL is rarely judged by elegance alone. It is judged by whether it returns correct data, whether it can be maintained, and whether it supports the business without creating new problems. You should expect this course to keep bringing you back to those standards.
Why self-paced learning works well for SQL
SQL is one of the best subjects for self-paced study because it rewards repetition and experimentation. You will often need to run a query, inspect the output, adjust the logic, and try again. That process is easier when you can pause, review, and come back with a fresh eye. An on-demand format gives you that flexibility.
It also helps if you are balancing work, family, or another class. You do not need to wait for a scheduled session to keep progressing. You can focus on the areas that challenge you most, whether that is joins, grouping, stored procedures, or database management concepts. That kind of control makes learning more efficient.
More importantly, self-paced learning supports real understanding. SQL is not something you absorb passively. You need time to think about how data is shaped and why one design choice is better than another. When you control the pace, you are more likely to build durable skill rather than short-term recall.
Slow down on the concepts that affect everything: joins, keys, filtering, grouping, and indexing. If those are solid, the rest of SQL gets much easier.
What you should expect to be able to do after completing it
By the end of this series, you should have a much stronger grip on how SQL Server and BI-oriented data work together. You should be able to read database structures more confidently, write cleaner queries, and understand the business impact of the data choices you make.
More specifically, you should be prepared to:
- Write and debug SQL queries with far less hesitation
- Work with common database objects used in production systems
- Support reporting and analysis with better data retrieval logic
- Talk intelligently about database performance and maintainability
- Handle more advanced SQL Server tasks with a stronger foundation
- Contribute more effectively to database, analytics, or BI teams
That is the real value of the course. Not just knowing SQL phrases, but being able to use SQL to solve business problems. If you are serious about data work, this is one of the most useful skills you can build, because it shows up everywhere: in reports, in applications, in analytics, and in every discussion about “what the numbers really mean.”
Microsoft® and SQL Server are trademarks of Microsoft Corporation. This content is for educational purposes.
Module 1 – Query Tools
- 1.1 Course Introduction
- 1.2 Intro to Management Studio
- 1.3 Intro to command-line query tools
Module 2 – Introduction to T-SQL Querying
- 2.1 Introducing T-SQL
- 2.2 Understanding Sets
- 2.3 Understanding the Logical Order of Operations in SELECT statements
Module 3 – Basic SELECT Queries
- 3.1 Writing Simple SELECT Statements
- 3.2 Eliminate Duplicates with DISTINCT
- 3.3 Using Column and Table Aliases
- 3.4 Write Simple CASE Expressions
Module 4 – Querying Multiple Tables
- 4.1 Understanding Joins
- 4.2 Querying with Inner Joins
- 4.3 Querying with Outer Joins
- 4.4 Querying with Cross Joins and Self Joins
Module 5 – Sorting and Filtering Data
- 5.1 Sorting Data
- 5.2 Filtering Data with Predicates
- 5.3 Filtering with the TOP and OFFSET-FETCH
- 5.4 Working with Unknown Values
Module 6 – Introduction to Business Intelligence and Data Modeling
- 6.1 Introduction to Business Intelligence
- 6.2 The Microsoft Business Intelligence Platform
- 6.3 Exploring a Data Warehouse
- 6.4 Exploring a Data Model
Module 7 – Prepare Data
- 7.1 Introduction to Power BI
- 7.2 Get data from various data sources
- 7.3 Preview source data
Module 8 – Clean, Transform, and Load Data
- 8.1 Data Transformation Intro
- 8.2 Transformation Example 1
- 8.3 Transformation Example 2
- 8.4 Transformation Example 3
- 8.5 Transformation Example 4
- 8.6 Transformation Example 5
- 8.7 Transformation Example 6
Module 9 – Design a Data Model
- 9.1 Introduction to Data Modeling
- 9.2 Model Relationships
- 9.3 Table Configuration
- 9.4 Model interface
- 9.5 Quick Measures
- 9.6 Many-to-many relationships
- 9.7 Row-level security
Module 10 – Create Model Calculations using DAX
- 10.1 DAX context
- 10.2 Calculated Tables
- 10.3 Calculated Columns
- 10.4 Managing Date Tables
- 10.5 Measures
- 10.6 Filter Manipulation
- 10.7 Time Intelligence
Module 11 – Create Reports
- 11.1 Basic Report Creation
- 11.2 Example Page 1
- 11.3 Example Page 2
- 11.4 Example Page 3
- 11.5 Report Publishing
- 11.6 Enhancing Reports
- 11.7 Drill-Through Pages
- 11.8 Conditional Formatting
- 11.9 Buttons and Bookmarks
Module 12 – Create Dashboards
- 12.1 Dashboard Basics
- 12.2 Real Time Dashboards
- 12.3 Enhanced Dashboards
Module 13 – Create Paginated Reports
- 13.1 Introduction to Power BI Report Builder
- 13.2 Report Layouts
- 13.3 Report Data
- 13.4 Report Tables
Module 14 – Perform Advanced Analytics
- 14.1 Introduction to Advanced Analytics
- 14.2 Scatter Chart
- 14.3 Forecast
- 14.4 Decomposition Tree
- 14.5 Key Influencers
Module 15 – Create and Manage Workspaces
- 15.1 Introduction to Workspaces
- 15.2 Working with Workspaces and the Portal
Module 16 – Create Power App Visuals
- 16.1 Introduction to Power Apps Visual
- 16.2 Creating the App
- 16.3 Basic Power Apps Concepts
- 16.4 Refreshing the Report
Module 17 – Analysis Services and Power BI
- 17.1 Introduction to Analysis Services
- 17.2 Connecting with Multidimensional Models
- 17.3 Premium Workspaces and Analysis Services
- 17.4 Course Wrap Up
Module 1 – Query Tools
- 1.1 Course Introduction
- 1.2 Module 1 Introduction
- 1.3 Intro to Management Studio
- 1.4 Intro to command-line query tools
Module 2 – Introduction to T-SQL Querying
- 2.1 Module 2 Introduction
- 2.2 Introducing T-SQL
- 2.3 Understanding Sets
- 2.4 Understanding the Logical Order of Operations in SELECT statements
Module 3 – Basic SELECT Queries
- 3.1 Module 3 Introduction
- 3.2 Writing Simple SELECT Statements
- 3.3 Eliminate Duplicates with DISTINCT
- 3.4 Using Column and Table Aliases
- 3.5 Write Simple CASE Expressions
Module 4 – Querying Multiple Tables
- 4.1 Module 4 Introduction
- 4.2 Understanding Joins
- 4.3 Querying with Inner Joins
- 4.4 Querying with Outer Joins
- 4.5 Querying with Cross Joins and Self Joins
Module 5 – Sorting and Filtering Data
- 5.1 Module 5 Introduction
- 5.2 Sorting Data
- 5.3 Filtering Data with Predicates
- 5.4 Filtering with the TOP and OFFSET-FETCH
- 5.5 Working with Unknown Values
Module 6 – Working with SQL Server Data Types
- 6.1 Module 6 Introduction
- 6.2 Writing Queries that return Date and Time Data
- 6.3 Writing Queries that use Date and Time Functions
- 6.4 Writing Queries that return Character Data
- 6.5 Writing Queries that use Character Functions
Module 7 – Using DML to Modify Data
- 7.1 Module 7 Introduction
- 7.2 Inserting Records with DML
- 7.3 Updating Records Using DML
- 7.4 Deleting Records Using DML
Module 8 – Using Built-In Functions
- 8.1 Module 8 Introduction
- 8.2 Writing Queries with Built-In Functions
- 8.3 Using Conversion Functions
- 8.4 Using Logical Functions
- 8.5 Using Functions to Work with NULL
Module 9 – Grouping and Aggregating Data
- 9.1 Module 9 Introduction
- 9.2 Using Aggregate Functions
- 9.3 Using the GROUP BY Clause
- 9.4 Filtering Groups with HAVING
Module 10 – Using Subqueries
- 10.1 Module 10 Introduction
- 10.2 Writing Self-Contained Subqueries
- 10.3 Writing Correlated Subqueries
- 10.4 Using the EXISTS Predicate with Subqueries
Module 11 – Using Table Expressions
- 11.1 Module 11 Introduction
- 11.2 Using Views
- 11.3 Using Inline Table-Valued Functions
- 11.4 Using Derived Tables
- 11.5 Using Common Table Expressions
Module 12 – Using Set Operators
- 12.1 Module 12 Introduction
- 12.2 Writing Queries with the UNION operator
- 12.3 Using EXCEPT and INTERSECT
- 12.4 Using APPLY
Module 13 – Using Window Ranking, Offset, and Aggregate Functions
- 13.1 Module 13 Introduction
- 13.2 Creating Windows with OVER
- 13.3 Exploring Window Functions
Module 14 – Pivoting and Grouping Sets
- 14.1 Module 14 Introduction
- 14.2 Writing Queries with PIVOT and UNPIVOT
- 14.3 Working with Grouping Sets
Module 15 – Implementing Error Handling
- 15.1 Module Introduction
- 15.2 Implementing T-SQL error handling
- 15.3 Implementing structured exception handling
Module 16 – Managing Transactions
- 16.1 Module 16 Introduction
- 16.2 Transactions and the Database Engine
- 16.3 Controlling Transactions
- 16.4 Course Wrap Up
Module 1 – Designing and Building Tables
- 1.1 Course Introduction
- 1.2 Module 1 Introduction
- 1.3 Introduction to Database Design
- 1.4 Creating Tables
- 1.5 Data Types
- 1.6 Schemas
- 1.7 Altering Tables
Module 2 – Enforcing Data Integrity
- 2.1 Module 2 Introduction
- 2.2 Introduction to Data Integrity
- 2.3 Data Domain Integrity
- 2.4 Implementing Data Domain Integrity
- 2.5 Implementing Entity and Referential Integrity
Module 3 – Indexing
- 3.1 Module 3 Introduction
- 3.2 Core Indexing Concepts
- 3.3 Heaps, Clustered, and Nonclustered Indexes
- 3.4 Data Types and Indexes
- 3.5 Single Column and Composite Indexes
Module 4 – Stored Procedures, Functions, and Triggers
- 4.1 Module 4 Introduction
- 4.2 Introduction to Database Programming
- 4.3 Creating Stored Procedures
- 4.4 Creating User-Defined Functions
- 4.5 Creating Triggers
Module 5 – Blob and Filestream Data
- 5.1 Module 5 Introduction
- 5.2 Introduction to Binary Data
- 5.3 Considerations for BLOB data
- 5.4 FILESTREAM Example
- 5.5 File Table Example
Module 6 – Full-Text Search
- 6.1 Module 6 Introduction
- 6.2 Introduction to Full-Text Search
- 6.3 Full-Text Catalogs
- 6.4 Full-Text Indexes
- 6.5 Full-Text Queries
Module 7 – Azure vs On-Prem
- 7.1 Module 7 Introduction
- 7.2 SQL Server on Azure VM
- 7.3 Azure Managed SQL Instance
- 7.4 Azure SQL Database
- 7.5 Course Wrap Up
Module 1 – Introduction to Business Intelligence and Data Modeling
- 1.1 Course Introduction
- 1.2 Module 1 Introduction
- 1.3 Introduction to Business Intelligence
- 1.4 The Microsoft Business Intelligence Platform
- 1.5 Exploring a Data Warehouse
- 1.6 Exploring a Data Model
Module 2 – Multidimensional Databases
- 2.1 Module 2 Introduction
- 2.2 Introduction to Multidimensional Analysis
- 2.3 Overview of Cube Security
- 2.4 Creating and Configuring a Cube
- 2.5 Data Sources
- 2.6 Data Source Views
- 2.7 Adding a Dimension to a Cube
Module 3 – Cubes and Dimensions
- 3.1 Module 3 Introduction
- 3.2 Dimensions
- 3.3 Attribute Hierarchies and Relationships
- 3.4 Sorting and Grouping Attributes
- 3.5 Slowly Changing Dimensions
Module 4 – Measures and Measure Groups
- 4.1 Module 4 Introduction
- 4.2 Measures
- 4.3 Measure Groups and Relationships
- 4.4 Measure Group Storage
Module 5 – Introduction to MDX
- 5.1 Module 5 Introduction
- 5.2 MDX Fundamentals
- 5.3 Adding Calculations to a Cube
- 5.4 Querying a cube using MDX
Module 6 – Customizing Cube Functionality
- 6.1 Module 6 Introduction
- 6.2 Key Performance Indicators
- 6.3 Actions
- 6.4 Perspectives
- 6.5 Translations
Module 7 – Tabular Data Models
- 7.1 Module 7 Introduction
- 7.2 Introduction to Tabular Data Models
- 7.3 Creating a Tabular Data Model
- 7.4 Configure Relationships and Attributes
- 7.5 Configuring Data Model for an Enterprise BI Solution
Module 8 – Data Analysis Expressions (DAX)
- 8.1 Module 8 Introduction
- 8.2 DAX Fundamentals
- 8.3 Calculated Columns
- 8.4 Relationships
- 8.5 Measures
- 8.6 Time Intelligence
- 8.7 KPI
- 8.8 Parent – Child Hierarchies
Module 9 – Data Mining
- 9.1 Module 9 Introduction
- 9.2 Overview of Data Mining
- 9.3 Custom Data Mining Solutions
- 9.4 Validating a Data Mining Model
- 9.5 Consuming a Data Mining Model
- 9.6 Course Wrap Up
Module 1 – Prepare Data
- 1.1 Course Introduction
- 1.2 Module 1 Introduction
- 1.3 Introduction to Power BI
- 1.4 Get data from various data sources
- 1.5 Preview source data
Module 2 – Clean, Transform, and Load Data
- 2.1 Module 2 Introduction
- 2.2 DimEmployee Example
- 2.3 DimEmployeeSalesTerritory Example
- 2.4 DimReseller Example
- 2.5 FactResellersSales Example
- 2.6 ResellerSalesTargets Example
- 2.7 Color Formats Example
Module 3 – Design a Data Model
- 3.1 Module 3 Introduction
- 3.2 Introduction to Data Modeling
- 3.3 Model Relationships
- 3.4 Table Configuration
- 3.5 Model interface
- 3.6 Quick Measures
- 3.7 Many-to-many relationships
- 3.8 Row-level security
Module 4 – Create Model Calculations using DAX
- 4.1 Module 4 Introduction
- 4.2 DAX context
- 4.3 Calculated Tables
- 4.4 Calculated Columns
- 4.5 Managing Date Tables
- 4.6 Measures
- 4.7 Filter Manipulation
- 4.8 Time Intelligence
Module 5 – Create Reports
- 5.1 Module 5 Introduction
- 5.2 Basic Report Creation
- 5.3 Example Page 1
- 5.4 Example Page 2
- 5.5 Example Page 3
- 5.6 Report Publishing
- 5.7 Enhancing Reports
- 5.8 Drill-Through Pages
- 5.9 Conditional Formatting
- 5.10 Buttons and Bookmarks
Module 6 – Create Dashboards
- 6.1 Module 6 Introduction
- 6.2 Dashboard Basics
- 6.3 Real Time Dashboards
- 6.4 Enhanced Dashboards
Module 7 – Create Paginated Reports
- 7.1 Module 7 Introduction
- 7.2 Introduction to Power BI Report Builder
- 7.3 Report Layouts
- 7.4 Report Data
- 7.5 Report Tables
Module 8 – Perform Advanced Analytics
- 8.1 Module 8 Introduction
- 8.2 Introduction to Advanced Analytics
- 8.3 Scatter Chart
- 8.4 Forecast
- 8.5 Decomposition Tree
- 8.6 Key Influencers
Module 9 – Create and Manage Workspaces
- 9.1 Introduction to Workspaces
- 9.2 Working with Workspaces and the Portal
Module 10 – Create Power App Visuals
- 10.1 Module 10 Introduction
- 10.2 Introduction to Power Apps Visual
- 10.3 Creating the App
- 10.4 Basic Power Apps Concepts
- 10.5 Refreshing the Report
Module 11 – Analysis Services and Power BI
- 11.1 Module 11 Introduction
- 11.2 Introduction to Analysis Services
- 11.3 Connecting with Multidimensional Models
- 11.4 Premium Workspaces and Analysis Services
- 11.5 Course Wrap Up
Module 1: What are Big Data Clusters?
- 1.1 Introduction
- 1.2 Linux, PolyBase, and Active Directory
- 1.3 Scenarios
Module 2: Big Data Cluster Architecture
- 2.1 Introduction
- 2.2 Docker
- 2.3 Kubernetes
- 2.4 Hadoop and Spark
- 2.5 Components
- 2.6 Endpoints
Module 3: Deployment of Big Data Clusters
- 3.1 Introduction
- 3.2 Install Prerequisites
- 3.3 Deploy Kubernetes
- 3.4 Deploy BDC
- 3.5 Monitor and Verify Deployment
Module 4: Loading and Querying Data in Big Data Clusters
- 4.1 Introduction
- 4.2 HDFS with Curl
- 4.3 Loading Data with T-SQL
- 4.4 Virtualizing Data
- 4.5 Restoring a Database
Module 5: Working with Spark in Big Data Clusters
- 5.1 Introduction
- 5.2 What is Spark
- 5.3 Submitting Spark Jobs
- 5.4 Running Spark Jobs via Notebooks
- 5.5 Transforming CSV
- 5.6 Spark-SQL
- 5.7 Spark to SQL ETL
Module 6: Machine Learning on Big Data Clusters
- 6.1 Introduction
- 6.2 Machine Learning Services
- 6.3 Using MLeap
- 6.4 Using Python
- 6.5 Using R
Module 7: Create and Consume Big Data Cluster Apps
- 7.1 Introduction
- 7.2 Deploying, Running, Consuming, and Monitoring an App
- 7.3 Python Example – Deploy with azdata and Monitoring
- 7.4 R Example – Deploy with VS Code and Consume with Postman
- 7.5 MLeap Example – Create a yaml file
- 7.6 SSIS Example – Implement scheduled execution of a DB backup
Module 8: Maintenance of Big Data Clusters
- 8.1 Introduction
- 8.2 Monitoring
- 8.3 Managing and Automation
- 8.4 Course Wrap Up
Module 1: Installation
- SQL Admin Intro
- Installation
Module 2: Data Storage
- Introduction to Data Storage with SQL Server
- Managing Storage for System Databases
- Managing Storage for User Databases
- Moving Database Files
Module 3: Data Recover
- Intro to Data Recovery
- Understanding SQL Server Recovery Models
- Planning a Backup Strategy
- Backing up Databases and Transaction Logs
- Using SSMS For Backup
- Understanding the Restore Process
- How to Restore a Database
- Using SSMS For Restore
- T-SQL Backup and Restore
- Advanced Restore Scenarios
- Introduction to Transferring Data
- Importing and Exporting Table Data
- Copying or Moving a Database
Module 4: Monitoring
- Introduction to Monitoring SQL Server
- Dynamic Management Views and Functions
- Server Reports
- System Performance Monitor
- Tracing SQL Server Workload Activity
- Extended Events
- Database Tuning Advisor
Module 5: Security
- Introduction to SQL Server Security
- Managing Server-Level Security
- Managing Database-Level Security
- Row Level Security (RLS) Using Policies
- Database Security Tools
- Contained Database
- Auditing Data Access in SQL Server
- Implementing Transparent Data Encryption
Module 6: Maintenance
- Introduction to Maintenance
- Ensuring Database Integrity
- Maintaining Indexes
- Automating Routine Database Maintenance
- Automating SQL Server Management
- Monitoring SQL Server Errors
- Configuring Database Mai
Module 1: Deploy a Microsoft Azure SQL Database
- Introduction
- Introducing the Azure SQL Database Part 1
- Introducing the Azure SQL Database Part 2
- Setting Up Azure Lab
- Chose a Service Tier Part 1
- Chose a Service Tier Part 2
- Create Servers and Databases Part 1
- Creating a Azure SQL Server and Database Lab
- Create Servers and Databases Part 2
- Create Servers and Databases Part 3
- Connecting SSMS to Azure SQL Lab Part 1
- Connecting SSMS to Azure SQL Lab Part 2
- Create a Sysadmin Account
- Creating Azure SQL Logins and Users Lab
- Congure Elastic Pools
- Creating and Conguring an Elastic Pool Lab
Module 2: Plan for SQL Server Installation
- Plan for an IaaS or On-Premises Deployment Part 1
- Plan for an IaaS or On-Premises Deployment Part 2
- Select the Appropriate Size for a Virtual Machine
- Plan Storage Pools Based on Performance Requirements Part 1
- Plan Storage Pools Based on Performance Requirements Part 2
- Evaluate Best Practices for Installation
- Design a Storage Layout for a SQL Server Virtual Machine
Module 3: Deploy SQL Server Instances
- Deploy a SQL Server Instance in IaaS and On-Premises
- Restoring AdventureWorks 2016 Database Lab
- Provision an Azure Virtual Machine to Host a SQL Server Instance
- Provisioning an Azure Virtual Machine to Host a SQL Server Lab
- Manually Install SQL Server on an Azure Virtual Machine
- Installing SQL 2016 Lab Part 1
- Installing SQL 2016 Lab Part 2
- Automate the Deployment of SQL Server Databases
- Exploring Azure SQL Database Automation Lab
- Deploy SQL Server by Using Templates
- Managing JSON Templates Lab
Module 4: Deploy SQL Server Databases to Azure Virtual Machines
- Migrate an On-Premises SQL Server Database to an Azure Virtual Machine
- Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 1
- Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 2
- Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 3
- Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 4
- Generate Benchmark Data for Performance Needs
- Generating Benchmark Data Lab Part 1
- Generating Benchmark Data Lab Part 2
- Perform Performance Tuning on Azure IaaS
- Perform Performance Tuning on Azure IaaS Lab Part 1
- Perform Performance Tuning on Azure IaaS Lab Part 2
- Support Availability Sets in Azure Part 1
- Support Availability Sets in Azure Part 2
- Manage High Availability Lab Part 1
- Manage High Availability Lab Part 2
- Manage High Availability Lab Part 3
- Manage High Availability Lab Part 4
- Manage High Availability Lab Part 5
Module 5: Configure Secure Access to Microsoft Azure SQL Databases
- Configure Firewall Rules
- Creating Firewall Rules Lab
- Configure Always Encrypted for Azure SQL Database
- Implementing Always Encrypted Lab
- Configure Cell-Level Encryption
- Cell-Level Encryption Lab
- Configure Dynamic Data Masking
- Dynamic Data Masking Lab
- Configure Transparent Data Encryption (TDE)
- Transparent Data Encryption (TDE) Lab
Module 6: Configure SQL Server performance settings
- Configure SQL Performance Settings
- Configuring SQL Performance Settings Lab
- Configure Max Server Memory
- Configuring SQL Memory Lab
- Configure Database Performance Settings
- Configure Database Performance Settings Lab
- Configure Operators and Alerts
- Configure alerts in Azure and On-Premise SQL Server Lab
Module 7: Manage SQL Server instances
- Create Databases
- Creating Databases Lab
- Manage Files and File Groups
- Managing Files and File Groups Lab
- Manage System Database Files
- Manage System Database Files Lab
- Configure tempdb
- Configure tempdb Lab
Module 8: Manage SQL Storage
- Manage SMB File Shares
- Manage SMB File Shares Lab
- Manage Stretch Databases
- Configure Azure Storage
- Change Service Tiers
- Change Service Tiers Lab Part 1
- Review Wait Statistics
- Manage Storage Pools
- Recover from Failed Storage
- Managing Storage Lab Part 1
- Managing Storage Lab Part 2
Module 9: Perform Database Maintenance
- Monitoring Tools
- Using Monitoring Tools Lab Part 1
- Using Monitoring Tools Lab Part 2
- Azure Performance Tuning
- Automate Maintenance Tasks
- Update Statistics and Indexes
- Update Statistics and Indexes Lab Part 1
- Update Statistics and Indexes Lab Part 2
- Verify Database Integrity
- Verify Database Integrity Lab
- Recover from Database Corruption
- Recover from Database Corruption Lab
- Conclusion
Module 1: Configure Encryption
- Introduction
- Exam Objectives and Lab Setup
- Restoring AdventureWorks 2016 Database Lab Part 1
- Restoring AdventureWorks 2016 Database Lab Part 2
- Restoring AdventureWorks 2016 Database Lab Part 3
- Configure Encryption
- Cell-Level Encryption Part 1
- Cell-Level Encryption Part 2
- Cell-Level Encryption Lab Part 1
- Cell-Level Encryption Lab Part 2
- Transparent Data Encryption
- Transparent Data Encryption Lab
- Always Encrypted
- Always Encrypted Lab
- Backup Encryption
- Backup Encryption Lab
- Connection Encryption
- Encryption Troubleshooting
Module 2: Configure Data Access and Permissions
- Create and Maintain Users
- Create and Maintain Users Lab Part 1
- Create and Maintain Users Lab Part 2
- Configure and Maintain Custom Roles
- Configure and Maintain Custom Roles Lab
- Manage Database Object Permissions Part 1
- Manage Database Object Permissions Part 2
- Manage Database Object Permissions Lab Part 1
- Manage Database Object Permissions Lab Part 2
- Configure User Options for Azure SQL Database
- Configure Row-Level Security
- Configure Dynamic Data Masking
- Configure Dynamic Data Masking Lab
Module 3: Configure Auditing
- Manage a SQL Server Audit
- Manage a SQL Server Audit Lab
- Query the SQL Server Audit Log
- Manage an Azure SQL Server Audit
Module 4: Develop a Backup Strategy
- Backup Types Part 1
- Backup Types Part 2
- Manage, Backup, and Restore Databases Lab Part 1
- Manage, Backup, and Restore Databases Lab Part 2
- Backup Very Large Databases Part 1
- Backup Very Large Databases Part 2
- Backup Very Large Databases Part 3
- Backup Very Large Databases Part 4
- 4.9 Managing Very Large Databases Lab Part 1
- 4.10 Managing Very Large Databases Lab Part 2
- 4.11 Managing Very Large Databases Lab Part 3
- Configure Alerting for Failed Backups
- Configure Alerting for Failed Backups Lab Part 1
- Configure Alerting for Failed Backups Lab Part 2
- Back up Databases to Azure
- Manage Transaction Log Backups
- Configure Database Recovery Models
- Set Database Recovery Model Lab
- Configure Backup Automation
- Configure Backup Automation Lab
Module 5: Restore Databases
- Perform Piecemeal Restores
- Restore Databases Lab Part 1
- Restore Databases Lab Part 2
- Restore Databases Lab Part 3
- Perform Page Recovery
- Perform Point-in-Time Recovery
- Perform Point-in-Time Recovery Lab
- Restore File Groups
- Develop a Plan to Automate and Test Restores
Module 6: Manage Database Integrity
- Implement Database Consistency Checks
- Implement Database Consistency Checks Lab
- Identify Database Corruption
- Recover From Database Corruption
Module 7: Monitor Database Activity
- Monitor Current Sessions
- Monitor Current Sessions Lab
- Identify Sessions that Cause Blocking Activity
- Identify Sessions that Consume tempdb Resources
- Configure the Data Collector
Module 8: Monitor Queries
- Manage the Query Store
- Manage the Query Store Lab
- Configure Extended Events and Trace Events
- Identify Problematic Execution Plans
Module 9: Manage Indexes
- Identify and Repair Index Fragmentation
- Identify and Create Missing Indexes
- Identify and Drop Underutilized Indexes
- Manage Existing Columnstore Indexes Part 1
- Manage Existing Columnstore Indexes Part 2
- Partitioned Tables
Module 10: Monitor SQL Server Instances
- Create and Manage Operators
- Create and Manage SQL Agent Alerts
- Configure Policy-Based Management
- Configure Policy-Based Management Lab
- Identify Available Space on Data Volumes
- Identify the Cause of- Manage Performance Degradation
- Identify the Cause of- Manage Performance Degradation Lab Part 1
- Identify the Cause of- Manage Performance Degradation Lab Part 2
Module 11: Implement Log Shipping
- Configure and Monitor Log Shipping
- Configure and Monitor Log Shipping Lab Part 1
- Configure and Monitor Log Shipping Lab Part 2
Module 12: Implement Failover Cluster Instances
- Windows Server Failover Cluster
- Manage Shared Disks
- Configure Cluster Shared Volumes
- Configuring WSFC Lab
Module 13: Implement Always On Availability Groups
- Database Mirroring
- Create an Availability Group
- Manage Failover
- Configure Read-Only Routing
- Create Distributed Availability Groups
- Configuring Always On Availability Group Lab Part 1
- Configuring Always On Availability Group Lab Part 2
- Conclusion
Module 1: Intro To Business Intelligence
- Introduction
- The Business Intelligence Solution
- Overview Of Business Intelligence
- BI And Power Pivot Demo
- ETL Intro
- Designing Data Warehouses
- Design For Speed
- BI Semantic Model
Module 2: Database Essentials
- Basic Database Objects Demo
- Stored Procedures And Triggers Demo
- Database Clusters Demo
- SQL Server Management
- Table Triggers
- DB Config Options
- DB Backup
- DB Files And Restore
Module 3: Business Intelligence Development
- Using SQL Server Data Tools Demo
- Building An IS Integration Services Package Demo
- Loading Data From Remote Sources Demo
Module 4: Business Intelligence Results
- Report Building Intro Setup Demo
- Using Report Builder Demo
- Processing Data From Web Service Demo
- Reporting From Multiple Tables Demo
- Report Function And Matrix Demo
- Interactive Reports Demo
- Sorting Report Data Demo
Module 5: Advanced Reporting And Development
- Drill Through Reports
- Data Visualization
- Creating Store Procedure From Scratch
- Memory Optimize Table
Module 6: SQL Server Integration Services (SSIS)
- Building Our First Integration Project
- Data Transformation
- Introduction To Big Data
- Transformation Using Store Procedure
- Transformation Using SSIS
- Building Fact Table Using Store Procedure
- Building Fact Table Using SSIS
Module 7: SQL Server 2014 New Features
- Backup Enhancements
- Index Enhancements
- Online DB Enhancements
- BackUp To The Cloud
- Partition Data
Module 8: Course Review And Exam Prep
- BI Review
- SharePoint Overview
- SharePoint Demo
- Exam Prep
- Before You Take The Exam
- Conclusion
Module 1: Introduction To Business Intelligence And Data Modeling
- Introduction To Business Intelligence and Data Modeling Part1
- Introduction To Business Intelligence and Data Modeling Part2
- The Microsoft Business Intelligence Platform Part 1
- The Microsoft Business Intelligence Platform Part 2
- The Microsoft Business Intelligence Platform Part 3
- The Microsoft Business Intelligence Platform Part 4
Module 2: Implementing Reports The SQL Server Reporting Services
- Implementing Reports the SQL Server Reporting Services Part 1
- Implementing Reports the SQL Server Reporting Services Part 2
- Implementing Reports the SQL Server Reporting Services Part 3
- Implementing Reports the SQL Server Reporting Services Part 4
- Implementing Reports the SQL Server Reporting Services Part 5
- Implementing Reports the SQL Server Reporting Services Part 6
- Implementing Reports the SQL Server Reporting Services Part 7
- Implementing Reports the SQL Server Reporting Services Part 8
Module 3: Supporting Self Service Reporting
- Supporting Self Service Reporting Part 1
- Supporting Self Service Reporting Part 2
Module 4: Managing Report Execution And Delivery
- Managing Report Execution And Delivery
- Managing Report Execution
- Subscriptions And Data Alerts
Module 5: Creating Multidimensional Databases
- Creating Multidimensional Databases
- Creating Data Sources And Data Source Views
- Creating And Browsing a Cube
Module 6: Working With Cubes And Dimensions
- Working with Cubes And Dimensions
- Sorting And Grouping Attributes
Module 7: Working With Measures And Measure Groups
- Working With Measures and Measure Groups
Module 8: Introduction To MDX
- Introduction To MDX
- Adding Calculations To A Cube
Module 9: Customizing Cube Functionality
- Customizing Cube Functionality Part 1
- Customizing Cube Functionality Part 2
- Customizing Cube Functionality Part 3
Module 10: Implementing A Tabular Data Model
- Implementing A Tabular Data Model Part 1
- Implementing A Tabular Data Model Part 2
Module 11: Introduction To DAX
- Introduction to DAX
- Demonstration Making A Tabular Model Part 1
- Demonstration Making A Tabular Model Part 2
- Using DAX
Module 12: Implementing An Analysis Services Tabular Data Model
- Implementing An Analysis Services Tabular Data Model Part 1
- Implementing An Analysis Services Tabular Data Model Part 2
- Deploying A Tabular Data Model
Module 13: SQL Analysis Services
- SQL Analysis Services Part 1
- SQL Analysis Services Part 2
Module 14: Creating Data Visualizations With Power View
- Creating Data Visualizations With Power View
Module 15: Supporting Self Service Reporting
- Supporting Self Service Reporting
Module 16: Performing Predictive Analysis With Data Mining
- Performing Predictive Analysis With Data Mining
- Using The Data Mining Wizard
Module 17: Predictive Analytics
- Predictive Analytics Part 1
- Predictive Analytics Part 2
Module 1: Designing A Database Server Infrastructure
- Introduction
- Designing A Database Server Infrastructure-Part1
- Designing A Database Server Infrastructure-Part2
- Designing A Database Server Infrastructure-Part3
- Designing A Database Server Infrastructure-Part4
- Considerations For Database Server Consolidation
- Managing Server Resources
Module 2: Designing A Logical Database Scheme
- Designing A Logical Database Scheme-Part1
- Designing A Logical Database Scheme-Part2
- Designing A Logical Database Scheme-Part3
- Designing A Logical Database Scheme-Part4
- Designing A Logical Database Scheme-Part5
Module 3: Designing A Physical Database Implementation
- Designing A Physical Database Implementation-Part1
- Designing A Physical Database Implementation-Part2
- Designing A Physical Database Implementation-Part3
Module 4: Incorporating Data Files Into the Database
- Incorporating Data Files Into The Database-Part1
- Incorporating Data Files Into The Database-Part2
- Incorporating Data Files Into The Database-Part3
- Incorporating Data Files Into The Database Demo
- Searching Data Files
- Searching Data Files Demo
Module 5: Tuning Database Performance
- Tuning Database Performance-Part1
- Tuning Database Performance-Part2
- Tuning Database Performance-Part3
- Working With Query Plans-Part1
- Working With Query Plans-Part2
- Working With Query Plans-Part3
- Working With Query Plans-Part4
Module 6: Designing Database Security
- Designing Database Security-Part1
- Designing Database Security-Part2
- Contained Databases
- Protecting Data With Encryption
Module 7: Policy Based Management
- Policy Based Management
- Policy Based Management Demo
Module 8: Monitoring Server Health
- Monitoring Server Health
- Monitoring Server Health Demo
Module 9: Designing Database Backup Solution
- Designing Database Backup Solution-Part1
- Designing Database Backup Solution-Part2
- Designing Database Backup Solution-Part3
- Designing Database Backup Solution-Part4
- Disaster Recovery Plan-Part1
- Disaster Recovery Plan-Part2
Module 10: Automating Multi Server Maintenance
- Automating Multi Server Maintenance
- Managing Multiple Servers
Module 11: Managing SQL Server With Windows Powershell
- Managing SQL Server WIth Windows Powershell
- Windows Powershell Lab
Module 12: Replicating Data
- Replicating Data-Part1
- Replicating Data-Part2
- Replicating Data-Part3
Module 13: Planning High Availability
- Planning High Availability-Part1
- Planning High Availability-Part2
Module 14: Review of SQL Statements
- Review Of SQL Statements-Part1
- Review Of SQL Statements-Part2
- Review Of SQL Statements-Part3
Module 15: Eleven Rules of Database Design
- Eleven Rules Of Database Design
- Conclusion
Module 1: SQL 2012 And The 464 Test
- Introduction
- Intro To SQL Server 2012-Part1
- Intro To SQL Server 2012-Part2
- Management Studio Demo-Part1
- Management Studio Demo-Part2
- Management Studio Demo-Part3
- Other SQL Server Tools
Module 2: Working With Data Types
- Working With Data Types-Part1
- Working With Data Types-Part2
- Working With Data Types-Part3
- Other Data Types
Module 3: Tables
- Tables
- Creating Tables
Module 4: Data Constraints
- Data Constraints-Part1
- Data Constraints-Part2
Module 5: Planning In Indexing
- Planning In Indexing-Part1
- Planning In Indexing-Part2
- Planning In Indexing-Part3
- Planning In Indexing-Part4
Module 6: Table Structures
- Table Structures
- Working With Clustered Indexes
- Clustered Indexes
- Designing Effective Clustered Indexes
Module 7: Improving Performance with Non-Clustered Indexes
- Improving Performance With Non-Clustered Indexes-Part1
- Improving Performance With Non-Clustered Indexes-Part2
- Improving Performance With Non-Clustered Indexes-Part3
Module 8: Using Indexes And Execution Plans
- Using Indexes
- Execution Plans-Part1
- Execution Plans Demo
- Execution Plans-Part2
Module 9: Working with Views
- Working With Views-Part1
- Working With Views-Part2
Module 10: Designing and Implementing Stored Procedures
- Designing And Implementing Stored Procedures-Part1
- Designing And Implementing Stored Procedures-Part2
- Designing And Implementing Stored Procedures-Part3
Module 11: Merging Data and Passing Tables
- Merging Data And Passing Tables-Part1
- Merging Data And Passing Tables-Part2
- Merging Data And Passing Tables-Part3
Module 12: Designing and Implementing User Functions
- Designing And Implementing User Functions
Module 13: Creating Highly Concurrent SQL Server Applications
- Creating Highly Concurrent SQL Server Applications-Part1
- Creating Highly Concurrent SQL Server Applications-Part2
- Creating Highly Concurrent SQL Server Applications-Part3
Module 14: Handling Errors in T-SQL
- Handling Error InT-SQL-Part1
- Handling Error InT-SQL-Part2
Module 15: Triggers
- Triggers
Module 16: Implementing Managed Code
- Implementing Managed Code-Part1
- Implementing Managed Code-Part2
- Implementing Managed Code-Part3
- Implementing Managed Code-Part4
Module 17: Storing XML in SQL
- Storing XML In SQL-Part1
- Storing XML In SQL-Part2
Module 18: Querying XML
- Querying XML-Part1
- Querying XML-Part2
Module 19: Working with the Spatial Data
- Working With Spatial Data-Part1
- Working With Spatial Data-Part2
- Working With Spatial Data-Part3
Module 20: Working With Full-Text Indexes and Queries
- Working With Full-Text Indexes And Queries-Part1
- Working With Full-Text Indexes And Queries-Part2
- Working With Full-Text Indexes And Queries-Part3
Lesson 1: Getting Started with SQL Server 2012
- Course Introduction
Lesson 2: Working with T-SQL
- Creating Queries-Part 1
- Creating Queries-Part 2
- Creating Queries-Part 3
- Creating Queries-Part 4
- Creating Queries-Part 5
- Constraints-Part 1
- Constraints-Part 2
- Constraints-Part 3
- Constraints-Part 4
- Constraints-Part 5
Lesson 3: Writing SELECT Queries
- Select Statement-Part 1
- Select Statement-Part 2
- Select Statement-Part 3
- Select Statement-Part 4
Lesson 4: Working with SQL Data Types
- Data Types-Part 1
- Data Types-Part 2
- Data Types-Part 3
- Data Types-Part 4
- Data Types-Part 5
- Data Types-Part 6
- Data Types-Part 7
- Data Types-Part 8
- Data Types-Part 9
- Data Types-Part 10
Lesson 5: Sorting and Filtering Data
- Sorting Results-Part 1
- Sorting Results-Part 2
- Sorting Results-Part 3
- Sorting Results-Part 4
- Sorting Results-Part 5
- Sorting Results-Part 6
Lesson 6: Querying Data from Multiple Tables
- Tables Part 1
- Tables Part 2
- Tables Part 3
- Tables Part 4
- Tables Part 5
- Tables Part 6
Lesson 7: Modifying Data
- Inserting Data-Part 1
- Inserting Data-Part 2
- Inserting Data-Part 3
- Inserting Data-Part 4
- Inserting Data-Part 5
- Inserting Data-Part 6
Lesson 8: Working with SQL Server Built-in Functions
- Functions
- Parse
- Logical Functions
- Group By
Lesson 9: Programming in T-SQL
- Programming-Part 1
- Programming-Part 2
- Programming-Part 3
- Programming-Part 4
- Programming-Part 5
- Programming-Part 6
Lesson 10: Implementing Stored Procedures
- Storage Procedures-Part 1
- Storage Procedures-Part 2
- Dynamic SQL-Part 1
- Dynamic SQL-Part 2
Lesson 11: Working with Subqueries and Table Expressions
- Sub-Queries And Table Expressions-Part 1
- Sub-Queries And Table Expressions-Part 2
- Sub-Queries And Table Expressions-Part 3
- Sub-Queries And Table Expressions-Part 4
Lesson 12: Working with Set Operators, Conditional Operators, and Window Functions
- Set Operators-Part 1
- Set Operators-Part 2
- Window Functions-Part 1
- Window Functions-Part 2
- User Defined Functions-Part 1
- User Defined Functions-Part 2
- Advanced Analytical Functions
Lesson 13: Working with PIVOT, UNPIVOT, and Grouping Sets
- Pivot
- Grouping Sets
Lesson 14: Managing Error Handling and Transactions
- Error Handling-Part 1
- Error Handling-Part 2
- Manage Transactions-Part 1
- Manage Transactions-Part 2
- Manage Transactions-Part 3
Lesson 15: Querying SQL Server System
- System Databases-Part 1
- System Databases-Part 2
- System Databases-Part 3
- System Databases-Part 4
Lesson 16: Optimizing Query Performance
- Query Planning-Part 1
- Query Planning-Part 2
- Index-Part 1
- Index-Part 2
- Index-Part 3
Lesson 1: Identifying the SQL Server Platform
- Overview
- DataStorage-Part 1
- DataStorage-Part 2
Lesson 2: Deploying SQL Server
- Install-Part 1
- Install-Part 2
Lesson 3: Configuring SQL Server
- Configuring-Part 1
- Configuring-Part 2
- Changing Memory-Part 1
- Changing Memory-Part 2
- Email-Part 1
- Email-Part 2
Lesson 4: Managing Databases in SQL Server 2012
- User Databases-Part 1
- User Databases-Part 2
- User Databases-Part 3
- User Databases-Part 4
- User Databases-Part 5
Lesson 5: Managing SQL Server Security
- Setting Security-Part 1
- Setting Security-Part 2
- Server Roles-Part 1
- Server Roles-Part 2
- Setting Permissions-Part 1
- Setting Permissions-Part 2
Lesson 6: Implementing Advanced Security Settings
- Querying Data From Multiple Tables-Part 1
- Querying Data From Multiple Tables-Part 2
- Querying Data From Multiple Tables-Part 3
- Querying Data From Multiple Tables-Part 4
- Querying Data From Multiple Tables-Part 5
Lesson 7: Applying Encryption and Compression
- Encrypting And Compressing-Part 1
- Encrypting And Compressing-Part 2
- Encrypting And Compressing-Part 3
Lesson 8: Working with Indexes and Log Files
- Functions-Part 1
- Functions-Part 2
- Functions-Part 3
- Functions-Part 4
- Functions-Part 5
- Functions-Part 6
Lesson 9: Working with Backup and Restore
- Managing Backups-Part 1
- Managing Backups-Part 2
- Managing Backups-Part 3
- Managing Backups-Part 4
- Managing Backups-Part 5
- Managing Backups-Part 6
- Managing Backups-Part 7
Lesson 10: Implementing High Availability
- Stored Procedures-Part 1
- Stored Procedures-Part 2
- Stored Procedures-Part 3
- Stored Procedures-Part 4
Lesson 11: Optimizing Server Performance
- Managing SQL Performance-Part 1
- Managing SQL Performance-Part 2
- Managing SQL Performance-Part 3
- Managing SQL Performance-Part 4
- Managing SQL Performance-Part 5
- Managing SQL Performance-Part 6
- Managing SQL Performance-Part 7
Lesson 12: Troubleshooting Issues and Recovering Databases
- Set Operators-Part 1
- Set Operators-Part 2
- Set Operators-Part 3
- Set Operators-Part 4
- Set Operators-Part 5
Lesson 13: Performing Advanced Database Management Tasks
- Managing Database Infrastructures-Part 1
- Managing Database Infrastructures-Part 2
- Managing Database Infrastructures-Part 3
Lesson 1: Introduction to Data Warehouse
- Introduction
- Introduction To Data Warehouse-Part1
- Introduction To Data Warehouse-Part2
- Introduction To Data Warehouse-Part3
- Introduction To Data Warehouse-Part4
- Introduction To Data Warehouse-Part5
- Introduction To Data Warehouse-Part6
Lesson 2: Creating Dimensions and Changing Granularity of Dimensions
- Creating Dimensions And Changing Granularity Of Dimensions-Part1
- Creating Dimensions And Changing Granularity Of Dimensions-Part2
- Creating Dimensions And Changing Granularity Of Dimensions-Part3
- Creating Dimensions And Changing Granularity Of Dimensions-Part4
- Creating Dimensions And Changing Granularity Of Dimensions-Part5
- Creating Dimensions And Changing Granularity Of Dimensions-Part6
Lesson 3: Creating Fact Tables and ColumnStore Indexes
- Creating Fact Tables And Column Store Indexes-Part1
- Creating Fact Tables And Column Store Indexes-Part2
- Creating Fact Tables And Column Store Indexes-Part3
- Creating Fact Tables And Column Store Indexes-Part4
- Creating Fact Tables And Column Store Indexes-Part5
Lesson 4: Implementing Data Warehouse in SQL Server 2012
- Implementing Data Warehouse-Part1
- Implementing Data Warehouse-Part2
- Implementing Data Warehouse-Part3
- Implementing Data Warehouse-Part4
Lesson 5: Working with Integration Services
- Working With Integration Services-Part1
- Working With Integration Services-Part2
- Working With Integration Services-Part3
- Working With Integration Services-Part4
- Working With Integration Services-Part5
- Working With Integration Services-Part6
Lesson 6: Managing Control Flow
- Managing Control Flow-Part1
- Managing Control Flow-Part2
- Managing Control Flow-Part3
- Managing Control Flow-Part4
- Managing Control Flow-Part5
Lesson 7: Working with Dynamic Variables
- Working With Dynamic Variables-Part1
- Working With Dynamic Variables-Part2
- Working With Dynamic Variables-Part3
- Working With Dynamic Variables-Part4
- Working With Dynamic Variables-Part5
- Working With Dynamic Variables-Part6
- Working With Dynamic Variables-Part7
- Working With Dynamic Variables-Part8
Lesson 8: Implementing Data Flow
- Implementing DataFlow-Part1
- Implementing DataFlow-Part2
- Implementing DataFlow-Part3
- Implementing DataFlow-Part4
- Implementing DataFlow-Part5
- Implementing DataFlow-Part6
- Implementing DataFlow-Part7
- Implementing DataFlow-Part8
Lesson 9: Managing Data Flow
- Managing DataFlow-Part1
- Managing DataFlow-Part2
- Managing DataFlow-Part3
- Managing DataFlow-Part4
Lesson 10: Managing SSIS Package Execution
- Managing SSIS Package Execution-Part1
- Managing SSIS Package Execution-Part2
- Managing SSIS Package Execution-Part3
- Managing SSIS Package Execution-Part4
- Managing SSIS Package Execution-Part5
- Managing SSIS Package Execution-Part6
Lesson 11: Debugging and Troubleshooting
- Debugging And Troubleshooting-Part1
- Debugging And Troubleshooting-Part2
- Debugging And Troubleshooting-Part3
- Debugging And Troubleshooting-Part4
Lesson 12: Deploying Packages
- Deploying Packages-Part1
- Deploying Packages-Part2
- Deploying Packages-Part3
Lesson 13: Securing Packages and Databases
- Securing Packages And Databases-Part1
- Securing Packages And Databases-Part2
Lesson 14: Working with MDS and Windows
- Working With MDS And Windows Azure
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Frequently Asked Questions.
What are the key topics covered in the Mastering SQL Certification Series?
The Mastering SQL Certification Series covers a broad range of topics essential for effective SQL database management and data analysis. Participants will learn fundamental SQL syntax, query optimization, and database design principles.
Additional modules focus on advanced querying techniques, data manipulation, stored procedures, and performance tuning. The course also delves into real-world scenarios such as creating reports, managing data integrity, and troubleshooting common SQL issues.
Is this SQL certification suitable for beginners or advanced users?
The series is designed to accommodate learners at various skill levels, from beginners to those with some prior SQL experience. It starts with foundational concepts and gradually advances to more complex topics.
For beginners, the course provides a solid introduction to SQL syntax and basic database operations. More experienced users will benefit from the practical applications, optimization techniques, and best practices for managing large datasets effectively.
What certification or credential will I earn after completing the Mastering SQL series?
Upon successfully completing the series, participants will receive a professional certification that validates their ability to design, manage, and utilize SQL Server databases effectively.
This certification serves as a valuable credential for advancing your career in data management, business intelligence, and database administration. It demonstrates practical SQL skills that are highly sought after in today’s data-driven industries.
How does the course help improve real-world SQL skills like report generation and data analysis?
The course emphasizes practical, hands-on exercises that simulate real-world scenarios such as building sales reports, analyzing revenue data, and creating dashboards. This approach helps learners apply their knowledge immediately to business problems.
Participants learn how to write efficient queries, join multiple datasets, and aggregate data to generate actionable insights. The focus on real-world application ensures that students can confidently handle data tasks in a professional setting.
Are there any prerequisites or recommended skills before enrolling in the Mastering SQL Certification Series?
While the course is suitable for beginners, a basic understanding of computer systems and familiarity with the concept of databases can be helpful. No prior experience with SQL is strictly necessary, as foundational topics are covered at the start.
For those with some experience, the course offers opportunities to deepen SQL knowledge and improve data management skills. A willingness to engage with practical exercises and problem-solving will enhance the learning experience.