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Delivering a Data Warehouse in the Cloud (DAT220x)

Learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse.

GK# 6887

Course Overview

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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.

Add a course completion certificate to your cart when you enroll for your course, or purchase it at any time prior to course completion. A voucher code will be added to your MyGK dashboard that can be redeemed upon passing the exam in the course completion chapter.

Add Course Completion Certificate for $100

Schedule

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What You'll Learn

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  • 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.

Outline

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On-Demand Outline

Module 1: Introducing SQL Data Warehouse

This module introduces Azure SQL Datawarehouse, Microsoft's data warehouse in the cloud. You'll learn about massively parallel processing, how to provision and configure SQL DW.

Module 2: Designing and Querying Data Warehouses

This module covers table design, partitioning, indexes and statistics. It introduces elastic query and tools for monitoring queries.

Module 3: Integrating and Ingesting Data

This module covers loading data into SQL DW with Azure Data Factory, Polybase, and Azure Stream Analytics. It also covers integrating with Azure Machine Learning, and visualizing data with Power BI.

Module 4: Managing Data Warehouses

This module covers monitoring and managing SQL DW workloads and performance, security, scaling, and managing backups. Final Exam The final exam accounts for 30% of your grade and will be combined with the weekly quizzes to determine your overall score. You must achieve an overall score of 70% or higher to pass this course and earn a certificate.

Prerequisites

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  • 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

Who Should Attend

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Familiarity with database concepts and reporting.

Course Delivery

This course is available in the following formats:

On-Demand

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