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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Length 488 pages
Edition 1st Edition
Languages
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Authors (8):
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Allan Hirt Allan Hirt
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Allan Hirt
Dustin Ryan Dustin Ryan
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Dustin Ryan
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Kellyn Gorman Kellyn Gorman
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Kellyn Gorman
Dave Noderer Dave Noderer
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Dave Noderer
Buck Woody Buck Woody
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Buck Woody
Arun Sirpal Arun Sirpal
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Arun Sirpal
James Rowland-Jones James Rowland-Jones
Author Profile Icon James Rowland-Jones
James Rowland-Jones
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Table of Contents (15) Chapters Close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security FREE CHAPTER 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

Modern data warehouse patterns in Azure

In today's world, modern enterprises have recognized that all data represents hidden value waiting to be unlocked by their organization. Data exists in all shapes, sizes, and formats, and often the differentiating factor between the most efficient and successful companies and less successful companies is how well those companies use data to drive intelligent decisions. More companies are recognizing that data and intelligence have little value if we can't properly manage it.

Today organizations need to be able to ingest large volumes of data into big data stores from a variety of data sources. Once in big data stores, Hadoop, Spark, and machine learning pipelines prepare and train the data. Once the data is ready for complex analysis, the data is loaded into the data warehouse to be accessed by business intelligence tools, such as Power BI or Excel. Azure provides the framework and ecosystem for designing and building cutting-edge...

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