SQL Server 2016 High Availability Unleashed provides start-to-finish coverage of SQL Server's powerful high availability (HA) solutions for your traditional on-premise databases, cloud-based databases (Azure or AWS), hybrid databases (on-premise coupled with the cloud), and your emerging Big Data solutions.
This complete guide introduces an easy-to-follow, formal HA methodology that has been refined over the past several years and helps you identity the right HA solution for your needs. There is also additional coverage of both disaster recovery and business continuity architectures and considerations. You are provided with step-by-step guides, examples, and sample code to help you set up, manage, and administer these highly available solutions. All examples are based on existing production deployments at major Fortune 500 companies around the globe.
This book is for all intermediate-to-advanced SQL Server and Big Data professionals, but is also organised so that the first few chapters are great foundation reading for CIOs, CTOs, and even some tech-savvy CFOs.
Learn a formal, high availability methodology for understanding and selecting the right HA solution for your needs
Deep dive into Microsoft Cluster Services
Use selective data replication topologies
Explore thorough details on AlwaysOn and availability groups
Learn about HA options with log shipping and database mirroring/ snapshots
Get details on Microsoft Azure for Big Data and Azure SQL
Explore business continuity and disaster recovery
Learn about on-premise, cloud, and hybrid deployments
Provide all types of database needs, including online transaction processing, data warehouse and business intelligence, and Big Data
Explore the future of HA and disaster recovery
Author Biography:
Paul Bertucci is the founder of Data by Design (www.dataXdesign.com) a database consulting firm with offices in the United States and Paris, France. He has more than 30 years of experience with database design, data modeling, data architecture, data replication, performance and tuning, distributed data systems, big data/Hadoop, data integration, high availability, disaster recovery/business continuity, master data management/data quality, and system architectures for numerous Fortune 500 companies, including Intel, Coca-Cola, Symantec, Autodesk, Apple, Toshiba, Lockheed, Wells Fargo, Merrill-Lynch, Safeway, Texaco, Charles Schwab, Wealth Front, Pacific Gas and Electric, Dayton Hudson, Abbott Labs, Cisco Systems, Sybase, and Honda, to name a few. He has written numerous articles, company and international data standards, and high-profile courses such as "Performance and Tuning" and "Physical Database Design" for Sybase and "Entity Relationship Modeling" courses for Chen & Associates (Dr. Peter P. Chen).
Paul is also an experienced leader of global enterprise architecture teams for multi-billion dollar companies and lead global teams in data warehousing/BI, big data, master data management, identity management, enterprise application integration, and collaboration systems. He has held positions such as chief data architect for Symantec, chief architect and director of Shared Services for Autodesk, CTO for Diginome, and CTO for both LISI and PointCare. Paul speaks regularly at many conferences and gatherings worldwide, such as SQL Saturday's, Ignite, TechEd, MDM Summit, Oracle World, Informatica World, SRII, MIT Chief Data Officer symposium, and many others.
