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Data replication tools and techniques for managing distributed information by Marie Buretta

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Published by Wiley Computer Pub. in New York .
Written in English


  • Distributed databases.,
  • Database management.

Book details:

Edition Notes

Includes index.

StatementMarie Buretta.
LC ClassificationsQA76.9.D3 B867 1997
The Physical Object
Paginationxx, 360 p. :
Number of Pages360
ID Numbers
Open LibraryOL1004308M
ISBN 100471157546
LC Control Number96044019

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Oracle Streams 11g Data Replication explains how to set up and administer a unified enterprise data sharing infrastructure. Learn how to capture, propagate, and apply database changes, transform data, and handle data conflicts. Monitoring, optimizing, and troubleshooting techniques are also covered in this comprehensive volume. Data replication benefits include high availability and durability. More specifically, when you create a new object in S3, the data is saved in S3; however, the change needs to be replicated across the Amazon S3 regions. Overall, replication may take some time, and you might notice delays resulting from various replication mechanisms.   Data replication serves as a disaster recovery solution and also provides higher availability at the HBase layer. The master-push pattern used by HBase replication keeps track of what is currently being replicated as each region server has its own write-ahead log. One master cluster can replicate any number of slave ed on: Novem Fundamentals of SQL Server Replication provides a hands-on introduction to SQL Server replication. The book begins with a short overview that introduces you to the technologies that make up replication. In the following chapters, the book will walk you through setting up different replication scenarios.

  We’ve outlined four data delivery styles in which integration software tends to perform, but it’s worthwhile to dig a bit deeper and really iron out the keys that make these capabilities tick. Data replication is one of these vital integration processes. In traditional settings, extract, transform and load (ETL) solutions were utilized to bring data together in one place. RDBMS-based replication services capture changes in the source system to optimize the data selection and extraction process. About the Book Author Thomas C. Hammergren has been involved with business intelligence and data warehousing since the s. Replication is a set of technologies for copying and distributing data and database objects from one database to another and then synchronizing between databases to maintain consistency. Use replication to distribute data to different locations and to remote or mobile users over local and wide area networks, dial-up connections, wireless. Data replication is the process of replicating data and storing it into different nodes or databases or sites. Data replication is mainly utilized for high availability features. For business-critical systems, data replication is one of the best practices to avoid any impact due to .

Database replication is the frequent electronic copying of data from a database in one computer or server to a database in another -- so that all users share the same level of information. The result is a distributed database in which users can quickly access data relevant to their tasks without interfering with the work of others. The IBM® data replication portfolio supports high volumes of data with very low latency, making the solution ideal for multisite workload distribution and continuous availability — whether across the data center, from on premises or to the cloud. Book Chapter with replication data. The following publications by PRIO staff have replication data files available to download. For replication data files for articles in the Journal of Peace Research, see the JPR data . Data replication is a necessary part of long-term data retention and archiving. More recently, data replication software is offered as capably providing real-time transactional data delivery and integration into data lakes to support big data initiatives.