Database Admin Bundle
Learn essential database administration skills to optimize queries, maintain SQL Server and Oracle systems, and support enterprise reporting and data management.
You’re the person people call when a database is slowing down a report, a migration is going sideways, or a developer swears the query “worked yesterday.” That is exactly where the Database Admin Bundle earns its keep. This set of training is built for the real work of database administration: writing and tuning queries, maintaining SQL Server systems, building reporting and warehouse structures, and understanding how Oracle and Microsoft environments fit into a modern enterprise.
I built this bundle to give you breadth where employers expect it and depth where the job actually demands it. Database administration is not one skill. It’s a stack of skills: data access, server maintenance, security, backup and recovery, integration, cleansing, and governance. If you want to move into a database role or strengthen the one you already have, this bundle gives you the kind of practical training that translates directly into day-to-day work.
What this bundle is really preparing you to do
This course collection is designed to prepare you for the jobs that keep business data usable, available, and trustworthy. That sounds simple until you’re the one responsible for keeping production systems stable. A good database administrator has to think like a mechanic, an analyst, and a problem solver all at once. You need to know how data moves, where it gets stored, how it is queried, and what happens when something breaks.
In this bundle, you work across Microsoft SQL Server concepts and broader database administration topics that matter in enterprise environments. You learn how to write and understand Transact-SQL, maintain SQL Server databases, support data warehouse environments, and use tools like SQL Server Integration Services, Data Quality Services, and Master Data Services. Those are not academic exercises. They are the building blocks of real database operations, especially in organizations that depend on clean reporting and reliable transactional systems.
By the end, you should be more confident in handling tasks such as:
- Creating and running database queries for operational and analytical work
- Maintaining database health, performance, and availability
- Supporting ETL processes that move data between systems
- Organizing warehouse data so it can actually be used by analysts and decision-makers
- Improving data quality before bad data spreads through the business
This is the kind of knowledge that separates someone who merely uses a database from someone who can manage one responsibly.
Why database administration still pays attention to detail
People outside the field sometimes assume database work is all about storage and backups. That’s a shallow view. Database administration is where data reliability, application performance, and business continuity intersect. If a sales dashboard is wrong, if an application times out, or if a reporting job misses its window, the database is often part of the story.
That is why employers care so much about certification and hands-on knowledge in this area. You are not just learning a product. You are learning the habits that keep systems dependable: checking dependencies, thinking through recovery, validating data movement, and understanding how schema design affects performance. These are the kinds of skills hiring managers trust because they reduce risk.
SQL Server and Oracle continue to be heavily used in enterprise environments, and database professionals who can work across the life cycle of data are still in demand. Common job titles that align with this bundle include:
- Database Administrator
- SQL Server Administrator
- Database Analyst
- ETL Developer
- Data Warehouse Developer
- Junior Oracle DBA
- Reporting or BI Support Specialist
Salary will vary by region, experience, and environment, but database-focused roles commonly sit in the mid-five figures to well into six figures for experienced administrators and specialists. The reason is straightforward: when databases fail, the business feels it immediately.
How the SQL portion builds your foundation
Before you can administer a database well, you have to think in SQL. That’s why the bundle starts with the kind of practical querying skill that database work depends on. Writing basic Transact-SQL is not about memorizing syntax for its own sake. It is about learning how to ask the database the right question and get a clean, useful answer back.
You’ll work through the fundamentals of selecting data, filtering rows, joining tables, and shaping results so they are meaningful. That matters whether you’re supporting an application team, investigating a data issue, or building a report for management. If your queries are sloppy, the rest of your work starts on unstable ground.
In my experience, people underestimate this part. They want to jump straight to administration tools and high-level architecture. That is a mistake. Good DBAs know how data is queried because query behavior affects indexing, performance, locking, and troubleshooting. A database administrator who can read SQL with confidence has an easier time diagnosing problems and communicating with developers.
You should expect to come away with practical ability in areas like:
- Basic Transact-SQL syntax and statement structure
- Filtering, sorting, and grouping data
- Joining tables to combine related information
- Using aggregate functions to summarize results
- Writing cleaner queries for troubleshooting and reporting
That foundation carries through the rest of the bundle. Once you can query data properly, the rest of database administration starts to make sense.
SQL Server maintenance is where responsibility begins
Maintaining a Microsoft SQL Server database is the point where knowledge turns into accountability. It is one thing to connect to a server and run a query. It is another to ensure the system stays healthy, recoverable, and performant over time. This bundle gives you the maintenance perspective employers expect from someone who can support production databases.
Database maintenance includes understanding backups, integrity checks, index maintenance, storage considerations, and routine monitoring. Those are not glamorous tasks, but they are the tasks that keep outages from becoming disasters. A well-managed SQL Server environment is usually the result of consistent, disciplined maintenance rather than heroic recovery after a failure.
You’ll also begin to see how administrative decisions affect user experience. Fragmented indexes, bloated tables, poor statistics, or neglected backups can all create very real business problems. The stronger your maintenance habits, the fewer surprises your team faces when load increases or recovery is needed.
This part of the training is especially useful if you are moving into roles where you must support production systems, work with application teams, or coordinate with infrastructure staff. The ability to maintain a database environment responsibly is one of the clearest markers of a junior-to-mid-level DBA who is becoming reliable.
Data warehouse design changes how organizations use information
If transactional databases are about running the business, data warehouses are about understanding it. That distinction matters. A warehouse is not just a larger database. It is a deliberately structured environment for storing data so it can be queried efficiently, compared over time, and used for reporting and analytics.
This bundle includes training on creating a data warehouse with SQL Server 2012 because warehouse thinking is a core skill for database professionals. You learn how to organize data for analysis rather than for day-to-day application activity. That means thinking about dimensions, facts, historical records, and how data is modeled to support business questions.
This is where a lot of database people level up. They stop thinking only about tables and start thinking about information flow. Who needs the data? How often does it change? What source systems feed it? What needs to be preserved for history? Those questions shape warehouse design and determine whether a reporting solution will help or frustrate users.
If you understand warehouse design, you stop treating reporting as an afterthought. You start building systems that help analysts ask better questions and give leadership a clearer view of the business.
That is valuable in organizations that rely on BI, dashboards, and operational analytics. It also makes you more useful in cross-functional projects, because data warehouse knowledge connects database administration to business intelligence in a way that pure system maintenance does not.
ETL is where good data becomes usable data
Extract, transform, and load is one of the most important workflows in any data-driven organization, and SQL Server Integration Services is a major tool in that process. The bundle covers ETL because data rarely arrives in a state that is ready for direct use. It needs to be pulled from source systems, reshaped, validated, and loaded into the right destination.
SSIS is valuable because it gives you a structured way to automate those flows. In practical terms, that means moving data from operational systems into staging areas or warehouses, applying business rules, handling errors, and scheduling repeatable jobs. If you work in a business where reports, dashboards, or integrations matter, ETL is part of the plumbing.
You’ll gain insight into how data pipelines are built and where they fail. That includes issues like bad source records, transformation mismatches, duplicate rows, timing problems, and inconsistent field formats. Those are the kinds of problems that often go unnoticed until a report looks wrong or a downstream system complains.
As a DBA or data professional, understanding ETL makes you far more effective because you can see the whole path of the data. You are no longer guessing where a problem came from; you can reason through the movement of the data and help repair the process instead of just the symptom.
Data quality and master data are not optional anymore
Bad data causes expensive mistakes. A customer record with the wrong address, a duplicate product code, or inconsistent naming across systems can create reporting errors, operational confusion, and compliance problems. That is why this bundle includes SQL Server Data Quality Services and SQL Server Master Data Services. These tools are about control, consistency, and trust.
Data Quality Services helps you validate and cleanse data so the information entering your systems is more accurate and standardized. Master Data Services helps maintain authoritative reference data across the organization. Together, they support one of the hardest parts of database work: making sure everyone is using the same version of the truth.
This matters because many organizations grow messy data ecosystems over time. Different departments create their own standards. Different systems store the same business entity in different ways. A strong database professional has to recognize when the issue is not just technical, but structural. Data governance tools help you bring order to that mess.
In practice, this training is useful if you work with:
- Customer master records
- Product catalogs
- Vendor and supplier data
- Reference codes and lookup tables
- Reporting environments that depend on clean inputs
If you have ever spent hours trying to explain why two reports disagree, you already understand why this matters.
Where Oracle and Microsoft skills strengthen your career path
Organizations rarely run only one database ecosystem forever. Even if you start in Microsoft SQL Server, you may eventually encounter Oracle, or vice versa. That is why a bundle like this is useful: it broadens your field of view. Employers like database professionals who can transfer concepts across platforms instead of only knowing one tool in isolation.
Oracle and Microsoft environments often share the same core realities: data modeling, security, performance tuning, backup strategy, and recovery planning. The syntax and administrative tools differ, but the thinking is similar. Once you understand how databases behave, it becomes much easier to pick up another platform.
This broad exposure can help if you want to move into roles where adaptability matters. Consulting, enterprise support, infrastructure teams, and data engineering groups often value people who can operate across systems. It also helps if you are deciding whether to specialize later. A wider base gives you a better view of where your strengths actually are.
For many students, this is the point of the bundle: not just passing a single test or learning a single product, but building a durable skill set that still makes sense when the environment changes.
Who should take this training
This bundle is a strong fit if you are serious about moving into database administration or growing beyond entry-level support work. I would especially recommend it to people who already touch databases in some way but want to become much more capable and employable.
You are a good candidate if you are:
- A help desk or systems professional moving toward database work
- A junior DBA who needs stronger SQL Server and warehouse skills
- A developer who wants to understand the database side of application performance
- A data analyst or reporting specialist looking to deepen technical knowledge
- An IT professional preparing for database-related certification paths
- Someone returning to IT who wants a focused, career-relevant specialization
You do not need to be an expert before starting, but you should be willing to think carefully and work through technical concepts. The people who get the most from this training are the ones who want to understand how databases actually work, not just how to click through a tool.
What skills you should expect to build
This bundle is valuable because it does not train one isolated ability. It develops a connected set of competencies that a real database role demands. That means you should expect to grow in both technical execution and professional judgment.
- Writing and reading Transact-SQL with confidence
- Managing SQL Server databases with a maintenance mindset
- Understanding data warehouse structures and reporting needs
- Designing and supporting ETL workflows in SSIS
- Validating, cleansing, and governing data with DQS and MDS
- Thinking across the data life cycle instead of in isolated tasks
The most important skill, though, is judgment. A database professional is constantly balancing speed, safety, clarity, and consistency. You are deciding when to automate, when to check manually, when to optimize, and when to escalate. That judgment is what turns technical knowledge into professional value.
How to approach this course if you want real career impact
If you want this bundle to change your career, do not consume it passively. Work through the concepts as though you are already responsible for the systems. Ask yourself what could break, what needs to be monitored, what data would need to be recovered, and how a business user would feel the impact. That mindset will make the material stick.
Also, connect the training to the roles you want next. If you want to become a SQL Server DBA, focus on maintenance, performance, and recovery thinking. If you want to move toward data engineering, pay close attention to ETL and warehouse design. If you want to support analytics teams, spend time understanding data quality and master data processes. The bundle supports all of these paths, but you should know which path you are building.
I built this training for people who want practical leverage in the job market. Database administration is not a fad. It is a discipline that rewards people who pay attention, think clearly, and respect the consequences of bad data. If that sounds like work you want to do, this bundle gives you a strong place to start.
CompTIA®, Microsoft®, and Oracle® are trademarks of their respective owners. This content is for educational purposes.
Module 1: Database Concepts And Tools
- Instructor And Course Introduction
- Database Concepts And Tools – Part 1
- Database Concepts And Tools – Part 2
Module 2: Memory Structure
- Memory Structure – Part 1
- Memory Structure – Part 2
Module 3: Tables
- Tables – Part 1
- Tables – Part 2
Module 4: Indexes
- Indexes – Part 1
- Indexes – Part 2
Module 5: Constraints And Triggers
- Constraints And Triggers – Part 1
- Constraints And Triggers – Part 2
Module 6: Users
- Users
- Profiles
- Privileges
- Roles
Module 7: Internal Structures
- Storage Structures – Part 1
- Storage Structures – Part 2
- Internal Memory Structures – Part 1
- Internal Memory Structures – Part 2
- Background Processes – Part 1
- Background Processes – Part 2
Module 8: Starting Up and Shutting Down Database
- Starting And Stopping DataBase – Part 1
- Starting And Stopping DataBase – Part 2
Module 9: Critical Storage Files
- Critical Storage Files – Part 1
- Critical Storage Files – Part 2
Module 10: Data Manipulation Language
- DML Atomicity – Part 1
- DML Atomicity – Part 2
- DML Insert
- DML Update – Part 1
- DML Update – Part 2
- DML Delete And Review Of DML Statements – Part 1
- DML Delete And Review Of DML Statements – Part 2
Module 11: Data Concurrency
- Data Concurrency – Part 1
- Data Concurrency – Part 2
Module 12: BackUp And Recovery
- Back Up – Part 1
- Back Up – Part 2
- Back Up – Part 3
- RMAN Catalog
- RMAN BackUps – Part 1
- RMAN BackUps – Part 2
- Disaster Preparedness
- Recovery
- Flashback Recovery
Module 13: Installation
- Installation – Part 1
- Installation – Part 2
Module 14: Course Review
- Course Review – Part 1
- Course Review – Part 2
- Course Review – Part 3
- Course Review – Part 4
- Course Review – Part 5
- Course Outro
Module 1: Introduction To Oracle 12c SQL Fundamentals
- Introduction
- Intro To Oracle 12c-SQL Fundamentals
- Structure Of SQL
- Basic Select Statements
- Basic Select Statements Demo
Module 2: Retrieving Data
- Modifying Reported Output
- The Where Clause
- The Order By Clause
- Left And Right Outer Joins
- The Where Clause Demo
- Multi-Table Selection Demo
Module 3: SQL Functions
- Single Row Functions
- Aggregate Functions
- Single Row Functions Demo
- Muiltrow Functions Demo
- Group By
- Grouping Demo
- Conversion Functions
- Conversion Functions Demo
- Datetime Functions
- Datetime Functions Demo
Module 4: Subqueries
- Single-Row Subqueries
- Single-Row Subqueries Demo
- Multi-Row Subqueries
- Multi-Row Subqueries Demo
- Other Subquery Types
- Other Subquery Types Demo
Module 5: Data Manipulation Language
- Adding Data
- Changing Data
- Deleting Data
- DML Demo
Module 6: Data Control Language
- Security
- Object Privileges
- DCL Demo
Module 7: Data Definition Language
- Creating Objects In The Database
- Creating Objects In The Database Demo
- Sequences
- Sequenced Demo
- Indexes
- Views
Module 8: Combining Queries
- Combining Queries
Module 9: Oracle 12C SQL Fundamentals Review
- Oracle 12c SQL Fundamentals Review – Part 1
- Oracle 12c SQL Fundamentals Review – Part 2
- Oracle 12c SQL Fundamentals Review – Part 3
- Conclusion
Module 1: Comprehensive Introduction to Sharepoint
- Course Intro
- Social Media
- Moblie Access
- Business Intelligence – Part 1
- Business Intelligence – Part 2
- Sharepoint Licensing Overview
- Organize Info
- Share Your Insights
- Minimal Download Strategy
- Enhances Social and Collaboration Features
- Enhanced Search
- Workflow
- Enterprise Content Management
- Web Content Management
Module 2: Installing SharePoint
- What We Will Cover – Part 1
- What We Will Cover – Part 2
- What We Will Cover – Part 3
- What We Will Cover – Part 4
- What We Will Cover – Part 5
- What We Will Cover – Part 6
- What We Will Cover – Part 7
- What We Will Cover – Part 8
- What We Will Cover – Part 9
- Software Requirements
- Service and Accounts
Module 3: SharePoint Architecture, Logical & Physical
- Physical Architecture
- Physical Architecture – Traditional Topologies
- Physical Architecture – Streamlined Topologies
- Physical Architecture – Search Architectures
- Physical Architecture – Enterprise Search Architecture
- Physical Architecture – Multi – Farm
- Logical Architecture
- Logical Architecture – Host Names Based Sites
- Logical Architecture – Path – Based
- Logical Architecture – Extranet
- Logical Architecture – Mobile
- Logical Architecture – Single Farm Deployment
- Databasis
- Summary
Module 4: Web Applications and Site Collections
- Web Applications and Site Collections Intro
- Logical Structure and Web Applications
- Demo
- Site Collections
- Demo – Part 1
- Demo – Part 2
- Application Pools and Summary
Module 5: Configure Service Applications
- Intro
- Service Applications
- Demo of Configuring Excel Services
- Sharepoint Management Shell Demo
- Summary
Module 6: Permissions
- Intro
- Site Permissions
- Terms
- Demo
- Authentication Modes
- O Auth
- Summary
Module 7: Search
- Intro
- Intro to Search
- Search Logical Architecture
- Crawling the Content
- Conent Processing
- Analytics Processing Component
- Summary
Module 8: User Profiles
- Intro
- User Profile Service
- User Profile Demo
- Profile Synchronization Goals
- Profile Synchronization Demo
- Sync Performance Changes
- Sync Performance Changes Demo
- Profile Import Options
Module 9: Ongoing Support and Maintenance
- Intro
- What To Look For
Module 1: Business Continuity
- Course Intro
- Intro to Plan Business Continuity Management – Part 1
- Intro to Plan Business Continuity Management – Part 2
- Describe High Availability
- Degraded Availability
- Qualifying Downtime
- Qualifying Downtime Demo – Part 1
- Qualifying Downtime Demo – Part 2
- Qualifying Downtime Demo – Part 3
- Qualifying Downtime Demo – Part 4
- Qualifying Downtime Demo – Part 5
- Qualifying Downtime Demo – Part 6
- Disaster Recovery Plan (DRP) – Part 1
- Disaster Recovery Plan (DRP) – Part 2
- Measure Availability – Part 1
- Measure Availability (Demo) – Part 2
- Measure Availability – Part 3
- Downtime Metrics – Part 1
- Downtime Metrics – Part 2
- Performance to Availability Relationship
- Costs of HA
- HA Supports in a Farm
- Fault Tolerant in your HA Solution
- Backup and Recovery in SharePoint 2013
- Summary
Module 2: Model, Design, and Test
- Intro
- Plan for Success
- Model – Part 1
- Model – Part 2
- Model – Part 3
- Model – Part 4
- Model – Part 5
- Model – Part 6
- Model – Part 7
- Model – Part 8
- Design – Part 1
- Design – Part 2
- Design – Part 3
- Design – Part 4
- Design – Part 5
- Design – Part 6
- Design – Part 7
- Test – Part 1
- Test – Part 2
- Test – Part 3
- Test – Part 4
- Test – Part 5
- Test – Part 6
- Test – Part 7
- Deploy
- Monitor and Maintain
Module 3: Upgrade and Migrate
- Intro to Upgrade and Migrate to SharePoint 2013
- Upgrading to SharePoint 2013 – Part 1
- Upgrading to SharePoint 2013 – Part 2
- Upgrading to SharePoint 2013 – Part 3
- Upgrading to SharePoint 2013 – Part 4
- Upgrading to SharePoint 2013 – Part 5
- Upgrading to SharePoint 2013 – Part 6
- Upgrading to SharePoint 2013 – Part 7
Module 4: Create and Configure Service Applications
- Intro to Create and Configure Service Applications
- Create and Configure Service Applications
- Create and Configure Service Applications Demo
- Create and Configure Service Applications Summary
Module 5: SharePoint Management
- Intro to Manage SharePoint Solution, BI, and System Integration
- Manage SP Solutions, BI, and System Integration
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
Module 1: Database Admininstration
- Intro to Oracle
- Database Administration
- Installing Oracle – Part 1
- Installing Oracle – Part 2
- Post Setup Overview – Part 1
- Post Setup Overview – Part 2
- SQLplus – Part 1
- SQLplus – Part 2
- SQLplus Demo – Part 1
- SQLplus Demo – Part 2
- SQLplus Demo – Part 3
- Startup and Shutdown – Part 1
- Startup and Shutdown – Part 2
Module 2: Oracle Architecture
- Oracle Architecture
- Schema Objects
- Data Access
- Architecture
Module 3: Database Schema
- Database Schema
- Create Table & Tablespace – Part 1
- Create Table & Tablespace – Part 2
- Create View
- Create Index
- Create Sequence
Module 4: Recovery Manager
- Recovery Manager
- What is RMAN
- RMAN Demo
- Restore – Part 1
- Restore – Part 2
Module 5: Introduction to SQL
- SQL – Part 1
- SQL – Part 2
- Parts of SQL Statement
- Select Statement
Module 6: Filtering and Sorting Data
- Build ERD – Part 1
- Build ERD – Part 2
- Build ERD – Part 3
Module 7: Functions
- Functions
- More Functions
- Group Functions
- Custom Functions
Module 8: SET Operators and Subqueries
- SET Operations
- Subqueries
Module 9: Regular Expressions and SQL Loader
- Regular Expressions
- SQL Loader
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Give your entire team access to this course and our full training library. Includes team dashboards, progress tracking, and group management.
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Frequently Asked Questions.
What topics are covered in the Database Admin Bundle?
The Database Admin Bundle offers comprehensive training on core database administration skills. It covers writing and tuning SQL queries, maintaining SQL Server systems, and building reporting and data warehouse structures.
Additionally, the course provides an understanding of how Oracle and Microsoft database environments operate within modern enterprise settings. This ensures that learners gain practical knowledge applicable to real-world database management tasks.
Is this course suitable for beginners or experienced database administrators?
The Database Admin Bundle is designed primarily for individuals with some foundational knowledge of databases, but it also benefits experienced DBAs looking to refine their skills. It focuses on practical, real-world tasks such as query tuning, system maintenance, and enterprise data management.
If you are new to database administration, some prior understanding of SQL or database concepts will help you get the most out of the training. For seasoned professionals, the course offers advanced insights into optimizing and managing complex database environments across different platforms.
Does the Database Admin Bundle include training for Oracle and SQL Server specifically?
Yes, the course provides targeted training on both Oracle and Microsoft SQL Server environments. Learners will understand how to manage, optimize, and troubleshoot these popular database systems within enterprise settings.
This dual-platform focus ensures that students can confidently handle diverse database environments, allowing for better integration, migration, and maintenance tasks across Oracle and SQL Server systems in a modern enterprise context.
What are the prerequisites for enrolling in the Database Admin Bundle?
Basic knowledge of database concepts and some experience with SQL are recommended before starting the course. Familiarity with data structures, query writing, or database management will help you grasp advanced topics more effectively.
If you’re new to databases, it may be helpful to review introductory materials on SQL and database architecture beforehand. The course is designed to build on foundational knowledge, so having some prior exposure will maximize your learning experience.
How will this training improve my career as a database administrator?
The Database Admin Bundle equips you with practical skills that are directly applicable to managing enterprise databases. You will learn how to optimize queries, maintain SQL Server systems, and develop reporting structures, all of which are critical tasks in database administration roles.
By mastering these core competencies and understanding the integration of Oracle and Microsoft environments, you’ll be better prepared for higher-level responsibilities, such as database tuning, migration planning, and system troubleshooting. This training can open doors to advanced roles in IT and data management.