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Implementing a Data Warehouse with Microsoft SQL Server 2012
Illustration by John Hersey

Implementing a Data Warehouse with Microsoft SQL Server 2012

with Martin Guidry

Video: Welcome

Hi, this is Martin Guidry, and welcome to We'll cover all these plus plenty of other tools and techniques.
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  1. 1m 34s
    1. Welcome
      44s
    2. What you should know
      28s
    3. Using the exercise files
      22s
  2. 9m 42s
    1. Finding and downloading SQL Server 2012 trial edition
      1m 46s
    2. Installing SQL Server 2012 trial edition
      5m 17s
    3. Finding and installing the sample data
      2m 39s
  3. 8m 30s
    1. Overview of data warehousing
      3m 6s
    2. Understanding the differences between typical databases and data warehouses
      2m 13s
    3. Implementing a data warehouse using a SQL database engine
      3m 11s
  4. 15m 4s
    1. Logical design for a data warehouse
      3m 3s
    2. Choosing between star and snowflake schema design techniques
      3m 42s
    3. Physical design for a data warehouse
      8m 19s
  5. 12m 36s
    1. Considerations for building a data warehouse
      5m 54s
    2. Data warehouse reference architectures
      2m 28s
    3. Appliances and big data
      4m 14s
  6. 28m 43s
    1. Introduction to ETL with SSIS
      5m 27s
    2. Exploring source data
      5m 57s
    3. Introduction to control flow
      8m 50s
    4. Implementing data flow
      8m 29s
  7. 15m 37s
    1. Debugging an SSIS package
      5m 16s
    2. Logging SSIS package events
      5m 34s
    3. Handling errors in an SSIS package
      4m 47s
  8. 26m 35s
    1. Introduction to incremental ETL
      3m 39s
    2. Extracting modified data
      10m 16s
    3. Loading modified data
      7m 53s
    4. Working with slowly changing dimensions
      4m 47s
  9. 21m 56s
    1. Installing and maintaining SSIS components
      5m 8s
    2. Deploying SSIS solutions
      6m 21s
    3. Using SQL Server Agent to execute an ETL package
      7m 16s
    4. Configuring advanced SSIS settings
      3m 11s
  10. 23m 52s
    1. Installing Data Quality Services
      2m 55s
    2. Using Data Quality Services to cleanse data
      4m 34s
    3. Using Data Quality Services to find duplicate data
      10m 47s
    4. Utilizing Data Quality Services in an SSIS data flow
      5m 36s
  11. 21m 13s
    1. Introduction to business intelligence
      3m 14s
    2. Using Reporting Services with a data warehouse
      8m 54s
    3. Introduction to data analysis with SQL Server Analysis Services (SSAS)
      9m 5s
  12. 1m 23s
    1. Next steps
      1m 23s

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Implementing a Data Warehouse with Microsoft SQL Server 2012
3h 6m Intermediate Mar 26, 2014

Viewers: in countries Watching now:

Learn how to design and implement an enterprise data warehouse. Microsoft Certified Trainer Martin Guidry shows how to design fact and dimension tables using both the star and snowflake techniques, use data quality services to cleanse data, and implement an ETL process with SQL Server integration services.

Topics include:
  • Typical databases vs. vdata warehouses
  • Choosing between star and snowflake design schemas
  • Working with appliances and "big data"
  • Exploring source data
  • Implementing data flow
  • Debugging an SSIS package
  • Extracting and loading modified data
  • Enforcing data quality
  • Consuming data in a data warehouse
Subjects:
IT Big Data IT and Hardware
Software:
SQL Server
Author:
Martin Guidry

Welcome

Hi, this is Martin Guidry, and welcome to Implementing a Data Warehouse with Microsoft SQL Server 2012. In this course, we'll look at designing and building an enterprise data warehouse using Microsoft SQL Server. I'll start off by showing you how to design fact and dimension tables, using the star and snowflake techniques. Then I'll show you how to use data quality services to cleanse data. We'll see how to implement an ETL process, using SQL server integration services.

We'll cover all these plus plenty of other tools and techniques. Now let's get started with Implementing a Data Warehouse with Microsoft SQL Server 2012.

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