Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse / (Record no. 84534)

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001 - CONTROL NUMBER
control field 9781547401277
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730161715.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190123s2018 mau fo d z eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781547401277
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title
100 1# - AUTHOR NAME
Author Beckner, Mark,
245 10 - TITLE STATEMENT
Title Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (116 p.)
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1515/9781547401277
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/cover/covers/9781547401277.jpg
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-- De|G Press,
-- [2018]
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-- ©2019
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-- Azure, ADF, ADLS, ADW, Data Lake, Data Warehouse.
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-- 2018
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