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Delivering a Data Warehouse in the Cloud (DAT220x)

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.

GK# 6887

Course Overview

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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: Key Concepts of SQL DW and MPP
This module makes a case for deploying a data warehouse in the cloud, introduces massively parallel processing and explores the components of Azure SQL Data Warehouse.

Module 2: Provisioning a SQL Data Warehouse
This module introduces the tasks needed to provision a SQL DW, the tools used to connect to and manage the DW, and key querying options.

Module 3: Designing Tables and Loading Data
This module covers data distribution in an MPP DW, creating tables and loading data.

Module 4: Integrating SQL DW in a Big Data Solution
This module introduces Polybase to access big data, managing, protecting, and securing your SQL DW, and integrating SQL DW into a big data solution.

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 reporting.
  • 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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Your super hero secret identity is a data analyst by day. So, you should totally take this course.

Course Delivery

This course is available in the following formats:

On-Demand

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