Training Schedule Training Schedule

(6554) Implementing a Data Warehouse with MS SQL Server 2014
Code: 6554 v12/19/2018
Type: null
Tuition (USD): $3095
Length: 5 Days
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Location Date Guaranteed to Run
Live Virtual, US 09/23/2019
Live Virtual, US 10/28/2019
Arlington,, VA 12/16/2019
Live Virtual, US 12/16/2019

Not finding any suitable dates? Contact us for additional availability: training@dunnsolutions.com

Skills Gained:
Data warehouse concepts and architecture considerations Select an appropriate hardware platform for a data warehouse Design and implement a data warehouse Implement data flow and control flow in a SSIS package Debug and troubleshoot SSIS packages Implement a SSIS solution that supports incremental data warehouse loads and extracting data Implement data cleansing using Microsoft DQS Implement Master Data Services (MDS) to enforce data integrity Extend SSIS with custom scripts and components Deploy and configure SSIS packages How Business Intelligence solutions consume data in a data warehouse
Who Should Attend?
Database professionals who need to fulfill a BI developer role focused on hands-on work, creating BI solutions included data warehouse implementation, ETL, and data cleansing Database professionals responsible for implementing a data warehouse, developing SSIS packages for data extraction, loading, transferring, transforming, and enforcing data integrity using MDS, and cleansing data using DQS
Prerequisites:
  • Minimum two years experience working with relational databases, including designing a normalized database, creating tables and relationships
  • Basic programming constructs, including looping and branching
  • Focus on key business priorities, such as revenue, p
What You Will Learn:
  • Classroom Live Outline
  • 1. Data Warehousing
  • Concepts and Architecture Considerations
  • Considerations for a Data Warehouse Solution
  • 2. Data Warehouse Infrastructure
  • Hardware Selections
  • Data Warehouse Reference Architectures and Appliances
  • 3. Design and Implement a Data Warehouse
  • Logical Design,
  • Physical Implementation
  • 4. Create an ETL Solution with SSIS
  • ETL with SSIS
  • Explore Source Data
  • Implement Data Flow
  • 5. Implement Control Flow in an SSIS Package
  • Control Flow
  • Create Dynamic Packages
  • Using Containers
  • Manage Consistency
  • 6. Debug and Troubleshoot SSIS Packages
  • Debug an SSIS Package
  • Log SSIS Package Events
  • Handle Errors in an SSIS Package
  • 7. Implement an Incremental ETL Process
  • Incremental ETL
  • 8. Enforce Data Quality
  • Microsoft SQL Server DQS
  • Use DQS to Cleanse Data
  • Use DQS to Match Data
  • 9. Master Data Services
  • Master Data Services Concepts
  • Implement a Master Data Services Model
  • Manage Master Data and Create a Master Data Hub
  • 10. Extend SQL Server Integration Services (SSIS)
  • Custom Components in SSIS
  • Scripting in SSIS
  • 11. Deploy and Configure SSIS Packages
  • Deployment Considerations
  • Deploy SSIS Projects
  • Plan SSIS Package Execution
  • 12. Consume Data in a Data Warehouse
  • Business Intelligence Solutions
  • Reporting and Data Analysis
  • Classroom Live Labs
  • Lab 1: Explore a Data Warehouse Solution
  • Lab 2: Data Warehouse Infrastructure Planning
  • Lab 3: Data Warehouse Implementation
  • Lab 4: Implement Data Flow in a SSIS Package
  • Lab 5A: Implement Control Flow in a SSIS Package
  • Lab 5B: Transactions and Checkpoints Usage
  • Lab 6: Debug and Troubleshoot a SSIS Package
  • Lab 7: Extract Modified Data
  • Lab 8: Data Warehouse Loading
  • Lab 9: Cleanse Data
  • Lab 10: Implement Master Data Services
  • Lab 11: Custom Scripts
  • Lab 12: Deploy and Configure SSIS Packages
  • Lab 13: Data Warehouse Usage in Enterprise and Self-Service BI Scenarios
Course Info:
In this course, you will learn how to implement a data warehouse platform to support a business intelligence (BI) solution. You will discover how to create a data warehouse, implement extract, transform, and load (ETL) with SQL Server Integration Services (SSIS), and validate and cleanse data with SQL Server Data Quality Services (DQS) and SQL Server Master Data Services.

This course is designed for customers interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features of SQL Server 2014 as well as the important capabilities across the SQL Server data platform.

This course incorporates material from the Official Microsoft Learning Product 20463: Implementing a Data Warehouse with Microsoft SQL Server 2014. It covers the skills and knowledge measured by Exam 70-463 and along with on-the-job experience, helps you prepare for the exam.

GK Digital Learning is also available with digital Microsoft Official Courseware (dMOC).

RELATED CERTIFICATIONS:
MCSA: SQL Server 2012/2014

Follow-On Courses:
Implementing Data Models and Reports with Microsoft SQL Server 2014 (M20466)
Designing Business Intelligence Solutions with Microsoft SQL Server 2014 (M20467)

Training Exclusives

This course comes with 12 months access to the following benefits:

Practice Labs
24x7 Mentoring
Indexed Class Recordings
Unlimited Retakes
Digital Courseware

* Terms and conditions may apply. Learn more about our Microsoft training exclusives by contacting training@dunnsolutions.com

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Discover how to implement a data warehouse platform with SQL Server 2012 or 2014.