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PolyBase revealeddata virtualization...

Feasel, Kevin.

PolyBase revealeddata virtualization with SQL server, Hadoop, Apache Spark, and beyond /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	PolyBase revealedby Kevin Feasel.
其他題名:	data virtualization with SQL server, Hadoop, Apache Spark, and beyond /
作者:	Feasel, Kevin.
出版者:	Berkeley, CA :Apress :2020.
面頁冊數:	xix, 311 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Information visualization.
電子資源:	https://doi.org/10.1007/978-1-4842-5461-5
ISBN:	9781484254615$q(electronic bk.)

PolyBase revealeddata virtualization with SQL server, Hadoop, Apache Spark, and beyond /
Feasel, Kevin.

PolyBase revealeddata virtualization with SQL server, Hadoop, Apache Spark, and beyond /[electronic resource] :by Kevin Feasel. - Berkeley, CA :Apress :2020. - xix, 311 p. :ill., digital ;24 cm.

1. Installing and Configuring PolyBase -- 2. Connecting to Azure Blob Storage -- 3. Connecting to Hadoop -- 4. Using Predicate Pushdown to Enhance Query Performance -- 5. Common Hadoop and Blob Storage Integration Errors -- 6. Integrating with SQL Server -- 7. Built-In Integrations: Cosmos DB, Oracle, and More -- 8. Integrating via ODBC -- 9. PolyBase in Azure SQL Data Warehouse -- 10. Examining PolyBase via Dynamic Management Views -- 11. Query Tuning with Statistics and Execution Plans -- 12. PolyBase in Practice.

Harness the power of PolyBase data virtualization software to make data from a variety of sources easily accessible through SQL queries while using the T-SQL skills you already know and have mastered. PolyBase Revealed shows you how to use the PolyBase feature of SQL Server 2019 to integrate SQL Server with Azure Blob Storage, Apache Hadoop, other SQL Server instances, Oracle, Cosmos DB, Apache Spark, and more. You will learn how PolyBase can help you reduce storage and other costs by avoiding the need for ETL processes that duplicate data in order to make it accessible from one source. PolyBase makes SQL Server into that one source, and T-SQL is your golden ticket. The book also covers PolyBase scale-out clusters, allowing you to distribute PolyBase queries among several SQL Server instances, thus improving performance. With great flexibility comes great complexity, and this book shows you where to look when queries fail, complete with coverage of internals, troubleshooting techniques, and where to find more information on obscure cross-platform errors. Data virtualization is a key target for Microsoft with SQL Server 2019. This book will help you keep your skills current, remain relevant, and build new business and career opportunities around Microsoft's product direction. You will: Install and configure PolyBase as a stand-alone service, or unlock its capabilities with a scale-out cluster Understand how PolyBase interacts with outside data sources while presenting their data as regular SQL Server tables Write queries combining data from SQL Server, Apache Hadoop, Oracle, Cosmos DB, Apache Spark, and more Troubleshoot PolyBase queries using SQL Server Dynamic Management Views Tune PolyBase queries using statistics and execution plans Solve common business problems, including "cold storage" of infrequently accessed data and simplifying ETL jobs.

ISBN: 9781484254615$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-5461-5doiSubjects--Topical Terms:

248886
Information visualization.

LC Class. No.: QA76.9.I52 / F437 2020

Dewey Class. No.: 001.4226

PolyBase revealeddata virtualization with SQL server, Hadoop, Apache Spark, and beyond /
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