Microsoft SQL Trio Training Series

$99.00

 

Course overview

24  HOURS OF TRAINING
147 VIDEOS
25  SKILLS
225 PRACTICE QUESTIONS

This trio series will give you everything you need for Microsoft SQL server. It contains SQL server Date Base, Administration, and introduction to Microsoft Power BI. SQL server will be around for years to come and becoming an expert will really help improve your employment opportunity and salary!

This bundle includes the following courses:

  • Introduction to Microsoft Power BI
  • Microsoft SQL Server 2019 – Big Data
  • Microsoft SQL Server 2019 Administration

Introduction to Microsoft Power BI Course Outline

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

Microsoft SQL Server 2019 - Big Data Course Outline

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

Microsoft SQL Server 2019 Administration Course Outline

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
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