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Implementing Data Warehouses with Integration Services

5days
Training code
USQLIS

Upcoming sessions

25 Jun 2018
03 Sep 2018
05 Nov 2018
Book this course

Module 1: Introduction to Data Warehousing

This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when you embark on a data warehousing project.

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

Module 2: Planning Data Warehouse Infrastructure

  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware

Module 3: Designing and Implementing a Data Warehouse

  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • Physical Design for a Data Warehouse

Module 4: Columnstore Indexes

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

Module 5: Implementing an Azure SQL Data Warehouse

  • Advantages of Azure SQL Data Warehouse
  • Implementing an Azure SQL Data Warehouse
  • Developing an Azure SQL Data Warehouse
  • Migrating to an Azure SQ Data Warehouse
  • Copying data with the Azure data factory

Module 6: Creating an ETL Solution

  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow

Module 7: Implementing Control Flow in an SSIS Package

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency

Module 8: Debugging and Troubleshooting SSIS Packages

  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package

Module 9: Implementing a Data Extraction Solution

  • Planning Data Extraction
  • Extracting Modified Data

Module 10: Enforcing Data Quality

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Cleanse Data

Module 11: Master Data Services

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Module 12: Extending SQL Server Integration Services

  • Using Scripts in SSIS
  • Using Custom Components in SSIS

Module 13: Deploying and Configuring SSIS Packages

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

Module 14: Consuming Data in a Data Warehouse

  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data

This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL Server 2012/2014/2016, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

This course is intended for database professionals who need to create and support a data warehousing solution. Primary responsibilities include:

  • Implementing a data warehouse.
  • Developing SSIS packages for data extraction, transformation, and loading.
  • Enforcing data integrity by using Master Data Services.
  • Cleansing data by using Data Quality Services.
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