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Implementing a Data Warehouse with Microsoft® SQL Server® 2014
Duration
5 Days
Course
MOC-20463-IN
Available Formats
Classroom Training, Online Training
Course Description
Overview
Data warehousing is a solution organizations use to centralize business data for reporting and analysis. This five-day instructor-led course focuses on teaching individuals how to create a data warehouse with SQL Server 2014, and implement ETL with SQL Server Integration Services. This course helps people prepare for exam 70-463.Objectives
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® 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.
Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.
Audience
This course is intended for 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. 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.
Prerequisites
- At least 2 years' 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).
This course requires that you meet the following prerequisites:
Topics
Course OutlineModule 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
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you will be able to:
After completing this module, you will be able to:
� Describe the considerations for planning data loads. � Use SQL Server Integration Services (SSIS) to load new and modified data into a data warehouse. � Use Transact-SQL techniques to load data into a data warehouse.Module 9: Enforcing Data QualityEnsuring the high quality of data is essential if the results of data analysis are to be trusted. SQL Server 2014 includes Data Quality Services (DQS) to provide a computer-assisted process for cleansing data values, as well as identifying and removing duplicate data entities. This process reduces the workload of the data steward to a minimum while maintaining human interaction to ensure accurate results.Lessons
� Describe how DQS can help you manage data quality. � Use DQS to cleanse your data. � Use DQS to match data.Module 10: Master Data ServicesMaster Data Services provides a way for organizations to standardize 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
� Describe the key concepts of Master Data Services. � Implement a Master Data Services model. � Use Master Data Services tools to manage master data. � Use Master Data Services tools to create a master data hub.Module 11: Extending SQL Server Integration ServicesThis 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, based on SSIS.Lessons
� Include custom scripts in an SSIS package. � Describe how custom components can be used to extend SSIS.Module 12: Deploying and Configuring SSIS PackagesMicrosoft SQL Server Integration Services (SSIS) provides tools that make it easy to deploy packages to another computer. The deployment tools also manage any dependencies, such as configurations and files that the package needs. In this module, you will learn how to use these tools to install packages and their dependencies on a target computer.Lessons
� Describe considerations for SSIS deployment. � Deploy SSIS projects. � Plan SSIS package execution.Module 13: Consuming Data in a Data WarehouseThis module introduces BI, describing the components of Microsoft SQL Server that you can use to create a BI solution, and the client tools with which users can create reports and analyze data. Lessons
� Describe BI and common BI scenarios. � Describe how a data warehouse can be used in enterprise BI scenarios. � Describe how a data warehouse can be used in self-service BI scenarios. |
Self-Paced Training Info
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
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