Introducing Microsoft SQL Server 2014

Ross Mistry & Stacia Misner

In this book, we explain how SQL Server 2014 incorporates in-memory technology to boost performance in online transactional processing (OLTP), data-warehouse solutions and lots more.

  • Published on Oct 14 2015
  • Pages 125
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This book is for anyone who has an interest in SQL Server 2014 and wants to under- stand its capabilities. Many new improvements have been made to SQL Server 2014, but in a book of this size we cannot cover every improvement in its entirety-or cover every feature that distinguishes SQL Server from other databases or SQL Server 2014 from previous versions. Consequently, we assume that you have some familiarity with SQL Server already. You might be a database administrator (DBA), an application de- veloper, a business intelligence solution architect, a power user, or a technical decision maker. Regardless of your role, we hope that you can use this book to discover the features in SQL Server 2014 that are most beneficial to you.

Table of Content: 

PART I DATABASE ADMINISTRATION

Chapter 1 SQL Server 2014 editions and engine enhancements

• SQL Server 2014 enhancements for database administrators

  • Availability enhancements
  • Backup and restore enhancements
  • Scalability and performance enhancements
  • Security enhancements
  • Platform for hybrid cloud

• SQL Server 2014 editions

  • Enterprise edition
  • Standard edition
  • Business Intelligence edition
  • Specialized editions

• SQL Server 2014 licensing overview

• Hardware and software requirements

• Installation, upgrade, and migration strategies

  • In-place upgrade
  • Side-by-side migration

Chapter 2 In-Memory OLTP investments

• In-Memory OLTP overview.

• In-Memory OLTP fundamentals and architecture

  • Four In-Memory OLTP architecture pillars
  • In-Memory OLTP concepts and terminology
  • Hardware and software requirements for memory-optimized tables
  • In-Memory OLTP use cases
  • Myths about In-Memory OLTP

• In-Memory OLTP integration and application migration

  • Will In-Memory OLTP improve performance?
  • Using the Memory Optimization Advisor to migrate disk-based tables
  • Analyzing In-Memory OLTP behavior after memory-optimized table migration

• Using In-Memory OLTP

  • Enabling In-Memory OLTP in a database
  • Create memory-optimized tables and natively compile stored procedures
  • Execute queries to demonstrate performance when using memory-optimized tables

• Appendix

  • Memory-optimized table
  • Natively compiled stored procedure

Chapter 3 High-availability, hybrid-cloud, and backup enhancements

• SQL Server high-availability and disaster-recovery enhancements

  • AlwaysOn Availability Groups enhancements
  • AlwaysOn Failover Cluster Instances enhancements

• Platform for hybrid cloud

  • Cloud disaster recovery
  • Deploy a database to a Windows Azure Virtual Machine
  • Storing SQL Server data files in Windows Azure
  • Extending on-premises apps to the cloud

• Backup and restore enhancements

SQL Server backup to a URL

  • Encryption for backups
  • SQL Server Managed Backup to Windows Azure

PART II BUSINESS INTELLIGENCE DEVELOPMENT

Chapter 4 Exploring self-service BI in Microsoft Excel 2013

• Excel Data Model and Power Pivot

  • Working with the Data Model
  • Managing data as a Power Pivot model

• Power Query

  • Searching for data
  • Importing data
  • Loading the worksheet or Data Model
  • Shaping data
  • Combining data

• Power View

  • Creating a Power View report
  • Working with visualizations
  • Sharing a Power View report

• Power Map

  • Creating a Power Map
  • Visualizing geographic data
  • Exploring the 3-D map
  • Displaying values over time
  • Enhancing a map
  • Working with tours, scenes, and layers
  • Sharing Power Map

Chapter 5 Introducing Power BI for Office 365

• Power BI sites

  • Configuring featured workbooks
  • Opening Power View in HTML5
  • Adding favorite reports to My Power BI

• Shared queries

  • Creating a shared query
  • Using a shared query
  • Managing query metadata
  • Reviewing usage analytics

• Power BI Q&A

• Power BI for Mobile

  • Preparing a workbook for mobile viewing
  • Using Power BI for Mobile
  • Sharing a report from Power BI for Mobile

• Power BI administration

Chapter 6 Big data solutions

• Big data

  • Describing big data
  • Exploring the history of Hadoop

• HDInsight

  • Creating a storage account for HDInsight
  • Provisioning an HDInsight cluster
  • Loading data into a storage account
  • Working with Hive
  • Analyzing data from Hive

• PolyBase

  • Exploring the benefits of PolyBase
  • Accessing HDFS data from PDW

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