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Delivering a Data Warehouse in the Cloud

Rp500,000 Rp99,000

SKU: MS1051100023 Categories: , , ,
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  • Unit Outline
  • Instructor
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  • Certificate
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About this course

This course is part of the Microsoft Professional Program Certificate in Big Data.

When you need to scale your data warehouse’s storage and processing capabilities in minutes, not months, you need a cloud-based massively parallel processing solution.

In this computer science course, you will learn how to deploy, design, and load data using Microsoft’s Azure SQL Data Warehouse, or SQL DW. You’ll learn about data distribution, compressed in-memory indexes, PolyBase for Big Data, and elastic scale.

Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

What you’ll learn

In this course, you’ll learn theory and techniques for:

  • Choosing a massively parallel processing architecture for a cloud-based data warehouse.
  • Designing tables and indexes to efficiently distribute data in tables across many nodes.
  • Loading data from a variety of sources, querying using PolyBase, securing and recovering data, and integrating into Big Data environments.


Familiarity with database concepts and basic SQL query syntax Familiarity with the reporting and analytics needs of users A willingness to learn actively and persevere when troubleshooting technical problems is essential

Estimate Time : 12 hours

Module 1 An Introducing SQL Data Warehouse

  • Introduction SQL Data Warehouse
  • Provisioning and Configuring SQL DW
  • Lab

Module 2 Designing and Querying Data Warehouse

  • Table Design and Implementation
  • Partitioning Tables
  • Indexes and Statistics
  • Monitoring Queries
  • Lab

Module 3 Integration and Ingesting Data

  • Loading Data
  • Integrating with other Azure and third-party tools
  • Migrating to SQL DW
  • Other data movement and load options
  • Lab

Module 4 Managing Data Warehouses

  • SQL DW Performance
  • SQL DW Security
  • Managing Compute
  • Monitoring SQL DW Workloads with DMVs
  • SQL DW Backups
  • Lab

Theresa Iserman
SQL Server Premier Field Engineer, Microsoft

Theresa Iserman is a SQL Server Premier Field Engineer at Microsoft. She’s a trusted technical advisor, trainer, & troubleshooter and supports Microsoft’s enterprise customers in optimizing their SQL Server implementations. Theresa holds an MCSA: Cloud Platform certification and has been working with data for over 15 years. Her past roles include working on transactional & data warehouse systems, web application development, & technical project management. You can follow Theresa on Twitter at: @TheresaIserman.

Scott Klein
CTO, Cloud and Devices

Scott Klein is CTO of Cloud and Devices. He’s a lover of data, analytics and IoT. You can follow Scott on Twitter at: @SQLScott

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Beginner, Intermediate





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