OD20767: MoD 20767: Implementing a SQL Data Warehouse (On Demand)

*1  exkl. 19% MwSt. / *2  inkl. 19% MwSt.

This Online-Training covers the following topics:

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
  • Exploring data sources
  • Exploring an ETL process
  • Exploring a data warehouse
  • Describe the key elements of a data warehousing solution
  • Describe the key considerations for a data warehousing solution
  • Considerations for data warehouse infrastructure.
  • Planning data warehouse hardware.
  • Planning data warehouse hardware
  • Describe the main hardware considerations for building a data warehouse
  • Explain how to use reference architectures and data warehouse appliances to create a data warehouse
  • Designing dimension tables
  • Designing fact tables
  • Physical Design for a Data Warehouse
  • Implementing a star schema
  • Implementing a snowflake schema
  • Implementing a time dimension table
  • Implement a logical design for a data warehouse
  • Implement a physical design for a data warehouse
  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes
  • Create a Columnstore index on the FactProductInventory table
  • Create a Columnstore index on the FactInternetSales table
  • Create a memory optimized Columnstore table
  • Create Columnstore indexes
  • Work with Columnstore Indexes
  • 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
  • Create an Azure SQL data warehouse database
  • Migrate to an Azure SQL Data warehouse database
  • Copy data with the Azure data factory
  • Describe the advantages of Azure SQL Data Warehouse
  • Implement an Azure SQL Data Warehouse
  • Describe the considerations for developing an Azure SQL Data Warehouse
  • Plan for migrating to Azure SQL Data Warehouse
  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow
  • Exploring source data
  • Transferring data by using a data row task
  • Using transformation components in a data row
  • Describe ETL with SSIS
  • Explore Source Data
  • Implement a Data Flow
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing consistency.
  • Using tasks and precedence in a control flow
  • Using variables and parameters
  • Using containers
  • Using transactions
  • Using checkpoints
  • Describe control flow
  • Create dynamic packages
  • Use containers
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
  • Debugging an SSIS package
  • Logging SSIS package execution
  • Implementing an event handler
  • Handling errors in data flow
  • Debug an SSIS package
  • Log SSIS package events
  • Handle errors in an SSIS package
  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading modified data
  • Temporal Tables
  • Using a datetime column to incrementally extract data
  • Using change data capture
  • Using the CDC control task
  • Using change tracking
  • Loading data from CDC output tables
  • Using a lookup transformation to insert or update dimension data
  • Implementing a slowly changing dimension
  • Using the merge statement
  • Describe incremental ETL
  • Extract modified data
  • Load modified data.
  • Describe temporal tables
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data
  • Creating a DQS knowledge base
  • Using a DQS project to cleanse data
  • Using DQS in an SSIS package
  • Creating a matching policy
  • Using a DS project to match data
  • Describe data quality services
  • Cleanse data using data quality services
  • Match data using data quality services
  • De-duplicate data using data quality services
  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Hierarchies and collections
  • Creating a Master Data Hub
  • Creating a master data services model
  • Using the master data services add-in for Excel
  • Enforcing business rules
  • Loading data into a model
  • Consuming master data services data
  • Describe the key concepts of master data services
  • Implement a master data service model
  • Manage master data
  • Create a master data hub
  • Using scripting in SSIS
  • Using custom components in SSIS
  • Using a script task
  • Use custom components in SSIS
  • Use scripting in SSIS
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
  • Creating an SSIS catalog
  • Deploying an SSIS project
  • Creating environments for an SSIS solution
  • Running an SSIS package in SQL server management studio
  • Scheduling SSIS packages with SQL server agent
  • Describe an SSIS deployment
  • Deploy an SSIS package
  • Plan SSIS package execution
  • Introduction to Business Intelligence
  • An Introduction to Data Analysis
  • Introduction to reporting
  • Analyzing Data with Azure SQL Data Warehouse
  • Exploring a reporting services report
  • Exploring a PowerPivot workbook
  • Exploring a power view report
  • Describe at a high level business intelligence
  • Show an understanding of reporting
  • Show an understanding of data analysis
  • Analyze data with Azure SQL data warehouse

The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role.  They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. 

One more important note, all Microsoft MOC On-Demand courses are currently available in English only. To successfully complete this course, therefore a safe handling like IT-specialized English is essential.

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Some experience with database design.

Recommended system requirements for Microsoft Official Courses On-Demand and labs include:

  • Windows 10
  • Current version of Internet Explorer or Microsoft Edge
  • Broadband Internet connection (256 kilobytes per second)
  • External access to the Internet
  • Either an installed ActiveX control (requires local administrator permissions) or Internet Explorer 11 or later
  • For some corporate firewalls, a proxy client (such as TMG Client) may be required
  • 1280 x 1024 or higher

Note You can also take a MOC On-Demand on your iPad® Retina 4th Generation; however, the lab experience is not optimized for tablets.

Note Regularly scheduled maintenance for the Microsoft Labs Online (MLO) platform is currently at 10–12 P.M. Pacific Time every Thursday. During that time, you may not be able to access the MLO associated with a MOC On-Demand.

The minimum system requirements for MOC On-Demand and labs include:

  • Windows 7 or later
  • Internet Explorer 9 or later
  • Broadband Internet connection (256 kilobytes per second)
  • External access to the Internet
  • Either an installed Active X control (requires local administrator permissions) or Internet Explorer 11 or later
  • For some corporate firewalls, a proxy client (such as TMG Client) may be required

This course provides students with the knowledge and skills to provision a Microsoft SQL Server 2016 database. The course covers SQL Server 2016 provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

  • Provision a Database Server.
  • Upgrade SQL Server.
  • Configure SQL Server.
  • Manage Databases and Files (shared).
  • Create an Excel data model and connect to external data
  • Original-Microsoft-Training
  • MOC On-Demand is currently available only in English
  • combination of video, text, practical tasks and knowledge tests
  • special offers like discounts are considered when taking the exam.

About Microsoft Official Course On-Demand

The courses are a great alternative for anyone wanting to learn independently and at their own pace. As a participant, you will receive an access to a learning platform developed by Microsoft, providing you with content such as videos, tutorials as well as a Live Lab-Environment for exercises.

As one of the leading Microsoft Learning Partners in Germany, GFN AG works closely with Microsoft together. On request, we can offer you additional services like digital training materials or an individual exam preparation in one of our Training center. For further information, you can also visit the following website MoC On Demand-Infoseite or feel free to contact us.

First published: 02. June 2017

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