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240402 ||| eng |
| 020 |
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|a 9781803241821
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| 050 |
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4 |
|a QA76.9.D37
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| 100 |
1 |
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|a Foshin, Dmitry
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| 245 |
0 |
0 |
|a Azure data factory cookbook
|b a data engineer's guide to building and managing ETL and ELT pipelines with data integration
|c Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Hertzenberg
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| 250 |
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|a Second edition
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| 260 |
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|a Birmingham, UK
|b Packt Publishing Ltd.
|c 2024
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| 300 |
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|a 532 pages
|b illustrations
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 653 |
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|a Data warehousing / http://id.loc.gov/authorities/subjects/sh97003695
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| 653 |
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|a Microsoft Azure (Plateforme informatique)
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| 653 |
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|a Entrepôts de données (Informatique)
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| 653 |
|
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|a Microsoft Azure (Computing platform) / http://id.loc.gov/authorities/subjects/sh2016001752
|
| 700 |
1 |
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|a Chernyshova, Tonya
|e author
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| 700 |
1 |
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|a Anoshin, Dmitry
|e author
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| 700 |
1 |
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|a Hertzenberg, Xenia
|e author
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
0 |
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|a Expert insight
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| 776 |
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|z 9781803241821
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| 776 |
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|z 9781803246598
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| 776 |
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|z 1803246596
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| 776 |
|
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|z 1803241829
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781803246598/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 005.74/5
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| 520 |
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|a This new edition of the Azure Data Factory Cookbook, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. You'll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discovering the benefits of Cloud Data Warehousing, Azure Synapse Analytics, and Azure Data Lake Storage Gen2. With practical recipes, you'll learn how to actively engage with analytical tools from Azure's data services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. As you advance, you'll be able to integrate the most commonly used Azure services into ADF and understand how Azure services can be useful in designing ETL pipelines. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out how to use the Azure portal to monitor pipelines. You'll also understand error messages and resolve problems in Connectors and Data flows with the debugging capabilities of ADF. Two new chapters covering Azure Data Explorer and key best practices have been added, along with new recipes throughout. By the end of this book, you'll be able to use ADF as the main ETL and orchestration tool for your Data Warehouse or Data Platform projects
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