Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse
- Length: 116 pages
- Edition: 1
- Language: English
- Publisher: De|G Press
- Publication Date: 2018-12-17
- ISBN-10: 1547417358
- ISBN-13: 9781547417353
- Sales Rank: #1568435 (See Top 100 Books)
With constantly expanding options such as Azure Data Lake Server (ADLS) and Azure SQL Data Warehouse (ADW), how can developers learn the process and components required to successfully move this data? Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse teaches you the basics of moving data between Azure SQL solutions using Azure Data Factory. Discover how to build and deploy each of the components needed to integrate data in the cloud with local SQL databases. Mark Beckner’s step by step instructions on how to build each component, how to test processes and debug, and how to track and audit the movement of data, will help you to build your own solutions instantly and efficiently. This book includes information on configuration, development, and administration of a fully functional solution and outlines all of the components required for moving data from a local SQL instance through to a fully functional data warehouse with facts and dimensions.
Cover Title Page Copyright Contents Chapter 1: Copying Data to Azure SQL Using Azure Data Factory Creating a Local SQL Instance Creating an Azure SQL Database Building a Basic Azure Data Factory Pipeline Monitoring and Alerts Summary Chapter 2: Azure Data Lake Server and ADF Integration Creating an Azure Data Lake Storage Resource Using Git for Code Repository Building a Simple ADF Pipeline to Load ADLS Combining into a Single ADF Pipeline Data Lake Analytics Summary Chapter 3: Azure Data Warehouse and Data Integration using ADF or External Tables Creating an ADW Instance ADW Performance and Pricing Connecting to Your Data Warehouse Modeling a Very Simple Data Warehouse Load Data Using ADF Using External Tables Summary Index
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