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Implementing a SQL 2016 Data Warehouse (SSIS)


  1. Power Packed 15 Hours (Edited from 40 hours of Live Training)
  2. 190+ Tests Questions (Qubits42)
  3. 6 months access to recordings.
  4. Access via Laptop, Tab, Mobile, and Smart TV.
  5. Certificate of completion.
  6. Official Courseware
  7. Hands-on labs
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Official Courseware



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Download Course Contents
Module 1: Introduction to Data Warehousing
  • Lesson 1: Overview of Data Warehousing
  • Lesson 2: Considerations for a Data Warehouse Solution
  • Lab: Exploring a Data Warehousing Solution
  • Lesson 1: Considerations for Data Warehouse Infrastructure
  • Lesson 2: Planning Data Warehouse Hardware
  • Lab: Planning Data Warehouse Infrastructure
  • Lesson 1: Data Warehouse Design Overview
  • Lesson 2: Designing Dimension Tables
  • Lesson 3: Designing Fact Tables
  • Lesson 4: Physical Design for a Data Warehouse
  • Lab: Implementing a Data Warehouse
  • Lesson 1: Introduction to Columnstore Indexes
  • Lesson 2: Creating Columnstore Indexes
  • Lesson 3: Working with Columnstore Indexes
  • Lab: Using Columnstore Indexes
  • Lesson 1: Advantages of Azure SQL Data Warehouse
  • Lesson 2: Implementing an Azure SQL Data Warehouse Database
  • Lesson 3: Developing an Azure SQL Data Warehouse
  • Lesson 4: Migrating to an Azure SQL Data Warehouse
  • Lesson 5: Copying Data with the Azure Data Factory
  • Lab: Implement an Azure SQL Data Warehouse
  • Lesson 1: Introduction to ETL with SSIS
  • Lesson 2: Exploring Source Data
  • Lesson 3: Implementing Data Flow
  • Lab: Implementing Data Flow in an SSIS Package
  • Lesson 1: Introduction to Control Flow
  • Lesson 2: Creating Dynamic Packages
  • Lesson 3: Using Containers
  • Lab A: Implementing Control Flow in an SSIS Package
  • Lesson 4: Managing Consistency
  • Lab B: Using Transactions and Checkpoints
  • Lesson 1: Debugging an SSIS Package
  • Lesson 2: Logging SSIS Package Events
  • Lesson 3: Handling Errors in an SSIS Package
  • Lab: Debugging and Troubleshooting an SSIS Package
  • Lesson 1: Introduction to Incremental ETL
  • Lesson 2: Extracting Modified Data
  • Lab A: Extracting Modified Data
  • Lesson 3: Loading Modified Data
  • Lesson 4: Temporal Tables
  • Lab B: Loading a Data Warehouse
  • Lesson 1: Introduction to Data Quality
  • Lesson 2: Using Data Quality Services to Cleanse Data
  • Lab A: Cleansing Data
  • Lesson 3: Using Data Quality Services to Match Data
  • Lab B: Deduplicating Data
  • Lesson 1: Introduction to Master Data Services
  • Lesson 2: Implementing a Master Data Services Mode
  • Lesson 3: Hierarchies and Collections
  • Lesson 4: Creating a Master Data Hub
  • Lab: Implementing Master Data Services Model
  • Lesson 1: Using Scripts in SSIS
  • Lesson 2: Using Custom Components in SSIS
  • Lab: Using Custom Scripts
  • Lesson 1: Overview of SSIS Development 13-2
  • Lesson 2: Deploying SSIS Projects 13-5
  • Lesson 3: Planning SSIS Package Execution 13-14
  • Lab: Deploying and Configuring SSIS Packages
  • Lesson 1: Introduction to Business Intelligence
  • Lesson 2: Introduction to Data Analysis
  • Lesson 3: Introduction to Reporting
  • Lesson 4: Analyzing Data with Azure SQL Data Warehouse
  • Lab: Using a Data Warehouse
Prem Sharma



Microsoft:20761C:Querying Data with Transact-SQL 2016Microsoft:Administering a SQL Database Infrastructure
Microsoft:Administering Microsoft SQL and Azure SQL database solutionsMicrosoft:Analyzing Data with SQL Server 2016 Reporting Services (SSRS)
CompTIA:CompTIA Data+ DA0-001Microsoft:Course 55246-A: SQL 2016 AlwaysOn High Availability
Databricks:Data Analysis with Databricks SQLDatabricks:Data Engineering with Databricks
Microsoft:Developing SQL 2016 Data Models (SSAS)Microsoft:DP-203T00: Data Engineering on Microsoft Azure
Microsoft:DP-300T00: Administering Microsoft Azure SQL SolutionsMicrosoft:DP-500T00: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
Microsoft:Implementing a Cloud Data Warehouse in Microsoft Azure Synapse AnalyticsMicrosoft:Implementing a SQL 2016 Data Warehouse (SSIS)
Microsoft:Introduction To SQL Databases-55315Microsoft:Microsoft SQL Always on High availability with optimization
Microsoft:Microsoft SQL Database Administration on 2019Microsoft:Microsoft SQL High availability with Replication
Microsoft:Microsoft SQL Server 2019 Performance Tuning and ManagementOracle:Oracle Database 12c R2: Program with PL/SQL Ed 2

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