Implementing a Data Warehouse with Microsoft SQL Server 2012 Training in Hollywood
We offer private customized training for groups of 3 or more attendees.
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Course Description |
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This Microsoft SQL Server 2014 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 2014, implement ETL
with SQL Server Integration Services, and validate and cleanse data with
SQL Server Data Quality Services and SQL Server Master Data Services.
Course Length: 5 Days
Course Tuition: $2490 (US) |
Prerequisites |
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This course requires that you meet the following prerequisites: At least 2 yearsâ?? experience of working with relational databases, including: Designing a normalized database. Creating tables and relationships. Querying with Transact-SQL. Some exposure to basic programming constructs (such as looping and branching). An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable. |
Course Outline |
Module 1: Introduction to Data WarehousingThis 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. Lessons
Lab : Exploring a Data Warehousing Solution
After completing this module, you will be able to:
Module 2: Planning Data Warehouse Infrastructure
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
Lessons
Lab : Planning Data Warehouse Infrastructure
After completing this module, you will be able to:
Module 3: Designing and Implementing a Data Warehouse
This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.
Lessons
Lab : Implementing a Data Warehouse
After completing this module, you will be able to:
Module 4: Creating an ETL Solution with SSIS
This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.
Lessons
Lab : Implementing Data Flow in an SSIS Package
After completing this module, you will be able to:
Module 5: Implementing Control Flow in an SSIS Package
This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.
Lessons
Lab : Implementing Control Flow in an SSIS Package
Lab : Using Transactions and Checkpoints
After completing this module, you will be able to:
Module 6: Debugging and Troubleshooting SSIS Packages
This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.
Lessons
Lab : Debugging and Troubleshooting an SSIS Package
After completing this module, you will be able to:
Module 7: Implementing a Data Extraction Solution
This module describes the techniques you can use to implement an incremental data warehouse refresh process.
Lessons
Lab : Extracting Modified Data
After completing this module, you will be able to:
Module 8: Loading Data into a Data Warehouse
This module describes the techniques you can use to implement data warehouse load process.
Lessons
Lab : Loading a Data Warehouse
After completing this module, you will be able to:
Module 9: Enforcing Data Quality
This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.
Lessons
Lab : Cleansing Data
After completing this module, you will be able to:
Module 10: Master Data Services
Master Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.
Lessons
Lab : Implementing Master Data Services
After completing this module, you will be able to:
Module 11: Extending SQL Server Integration Services
This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.
Lessons
Lab : Using Custom Scripts
After completing this module, you will be able to:
Module 12: Deploying and Configuring SSIS Packages
In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.
Lessons
Lab : Deploying and Configuring SSIS Packages
After completing this module, you will be able to:
Module 13: Consuming Data in a Data Warehouse
This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.
Lessons
Lab : Using a Data Warehouse
After completing this module, you will be able to:
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