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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

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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