Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse / / Mark Beckner.
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 y...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 English |
---|---|
VerfasserIn: | |
Place / Publishing House: | Boston ;, Berlin : : De|G Press, , [2018] ©2019 |
Year of Publication: | 2018 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (116 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Other title: | Frontmatter -- About De/G PRESS -- Acknowledgments -- About the Author -- Contents -- Introduction -- Chapter 1: Copying Data to Azure SQL Using Azure Data Factory -- Chapter 2: Azure Data Lake Server and ADF Integration -- Chapter 3: Azure Data Warehouse and Data Integration using ADF or External Tables -- Index |
---|---|
Summary: | 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. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9781547401277 9783110604252 9783110603255 9783110603118 |
DOI: | 10.1515/9781547401277 |
Hierarchical level: | Monograph |
Statement of Responsibility: | Mark Beckner. |