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Introducing Microsoft SQL Server 2019

You're reading from  Introducing Microsoft SQL Server 2019

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Pages 488 pages
Edition 1st Edition
Languages
Authors (8):
Kellyn Gorman Kellyn Gorman
Profile icon Kellyn Gorman
Allan Hirt Allan Hirt
Profile icon Allan Hirt
Dave Noderer Dave Noderer
Profile icon Dave Noderer
Mitchell Pearson Mitchell Pearson
Profile icon Mitchell Pearson
James Rowland-Jones James Rowland-Jones
Profile icon James Rowland-Jones
Dustin Ryan Dustin Ryan
Profile icon Dustin Ryan
Arun Sirpal Arun Sirpal
Profile icon Arun Sirpal
Buck Woody Buck Woody
Profile icon Buck Woody
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Toc

Table of Contents (15) Chapters close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security 3. High Availability and Disaster Recovery 4. Hybrid Features – SQL Server and Microsoft Azure 5. SQL Server 2019 on Linux 6. SQL Server 2019 in Containers and Kubernetes 7. Data Virtualization 8. Machine Learning Services Extensibility Framework 9. SQL Server 2019 Big Data Clusters 10. Enhancing the Developer Experience 11. Data Warehousing 12. Analysis Services 13. Power BI Report Server 14. Modernization to the Azure Cloud

PolyBase external tables

External tables provide SQL Server with the schema to reason over data in the external data source. When you create an external table, you are establishing a strongly typed interface to the data that includes data type, nullability, and column-level collation. The columns can, and should, be strongly typed as this improves query performance and data quality.

Note

The data that you reference via an external table is not directly under SQL Server management. This means that the data could change or be removed and will not be included in operations such as backup or restore.

The columns in an external table are mapped by position and so you can choose whatever column names you like. You can, therefore, treat external tables as a useful abstraction for aliasing column names. In this sense, an external table operates as a view:

CREATE EXTERNAL TABLE [Sales].[SalesTerritory]
([TerritoryID]       INT    ...
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