Implementing a Data Warehouse with Microsoft SQL Server 2014 Training

Implementing a Data Warehouse with Microsoft SQL Server 2014 Training (M20463)

Introduction:

Implementing a Data Warehouse with Microsoft SQL Server 2014 Training with Hands-on Labs

This Implementing a Data Warehouse with Microsoft SQL Server 2014 Training course covers implementation of a data warehouse platform to support a BI solution. Topics covered include creating a data warehouse with Microsoft SQL Server 2014, implementing extraction, transformation, and load (ETL) packages with SQL Server Integration Services, and validating and cleansing data with SQL Server Data Quality Services and SQL Server Master Data Services.

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Audience/Target Group

Database Administrators who need to create and support a data warehousing solution.

Implementing a Data Warehouse with Microsoft SQL Server 2014 Training (M20463)Related Courses:

Duration: 5 days

Class Prerequisites:

At least 2 years of experience 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.

What You Will Learn:

Describe data warehouse concepts and architecture considerations.
Select an appropriate hardware platform for a data warehouse.
Design and implement a data warehouse.
Implement Data Flow in an SSIS Package.
Implement Control Flow in an SSIS Package.
Debug and Troubleshoot SSIS packages.
Implement an ETL solution that supports incremental data extraction.
Implement an ETL solution that supports incremental data loading.
Implement data cleansing by using Microsoft Data Quality Services.
Implement Master Data Services to enforce data integrity.
Extend SSIS with custom scripts and components.
Deploy and Configure SSIS packages.
Describe how BI solutions can consume data from the data warehouse.

Course Content:

Module 1: Introduction to Data Warehousing

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: Creating an ETL Solution with SSIS

Introduction to ETL with SSIS
Exploring Data Sources
Implementing Data Flow

Module 5: Implementing Control Flow in an SSIS Package

Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing Consistency

Module 6: Debugging and Troubleshooting SSIS Packages

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

Module 7: Implementing a Data Extraction Solution

Planning Data Extraction
Extracting Modified Data

Module 8: Loading Data into a Data Warehouse

Planning Data Loads
Using SSIS for Incremental Loads
Using Transact-SQL Loading Techniques

Module 9: Enforcing Data Quality

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

Module 10: Master Data Services

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

Module 11: Extending SQL Server Integration Services

Using Scripts in SSIS
Using Custom Components in SSIS

Module 12: Deploying and Configuring SSIS Packages

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Module 13: Consuming Data in a Data Warehouse

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

Labs

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Time Frame: 0-3 Months4-12 Months

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