Book description
- Implement Big Data Clusters with SQL Server, Spark, and HDFS
- Create a Data Hub with connections to Oracle, Azure, Hadoop, and other sources
- Combine SQL and Spark to build a machine learning platform for AI applications
- Boost your performance with no application changes using Intelligent Performance
- Increase security of your SQL Server through Secure Enclaves and Data Classification
- Maximize database uptime through online indexing and Accelerated Database Recovery
- Build new modern applications with Graph, ML Services, and T-SQL Extensibility with Java
- Improve your ability to deploy SQL Server on Linux
- Gain in-depth knowledge to run SQL Server with containers and Kubernetes
- Know all the new database engine features for performance, usability, and diagnostics
- Use the latest tools and methods to migrate your database to SQL Server 2019
- Apply your knowledge of SQL Server 2019 to Azure
Table of contents
- Cover
- Front Matter
- 1. Why SQL Server 2019?
- 2. Intelligent Performance
- 3. New Security Capabilities
- 4. Mission-Critical Availability
- 5. Modern Development Platform
- 6. SQL Server 2019 on Linux
- 7. Inside SQL Server Containers
- 8. SQL Server on Kubernetes
- 9. SQL Server Data Virtualization
- 10. SQL Server Big Data Clusters
- 11. The Voice of the Customer and Migration
- Back Matter
Product information
- Title: SQL Server 2019 Revealed: Including Big Data Clusters and Machine Learning
- Author(s):
- Release date: October 2019
- Publisher(s): Apress
- ISBN: 9781484254196
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