Data Replication


Data Replication
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Data Replication


Data Replication
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Author : Marie Buretta
language : en
Publisher:
Release Date : 1997-03-10

Data Replication written by Marie Buretta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-03-10 with Computers categories.


For enterprise-wide data replication that works, you'll find the right tools for the right job--right here Data Replication: Tools and Techniques for Managing Distributed Information is a step-by-step guide to replicated data implementation, covering everything from technologies and terms to design approaches used by major vendors like IBM and Sybase to the latest in alternative design strategies. Here's everything on selecting the right set of replication tools and designing and building databases that work effectively with these tools. In addition, the book provides: * Clear data distribution methodology and tips and techniques for designing databases that use replication efficiently * A work plan for building an in-house framework for replication * An application developer's work plan for implementing replication * Highlighted "Tips" and "Warnings" and a Decision * Tree that offers easy selection of the best replication alternatives * Concepts applicable to both vendor-supplied and in-house solutions * Illustrative case studies on such topics as using replication within the OLAP operational data store, and OLTP and mobile computing environments



Database Replication


Database Replication
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Author : Bettina Kemme
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2010-11-11

Database Replication written by Bettina Kemme and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Technology & Engineering categories.


Database replication is widely used for fault-tolerance, scalability and performance. The failure of one database replica does not stop the system from working as available replicas can take over the tasks of the failed replica. Scalability can be achieved by distributing the load across all replicas, and adding new replicas should the load increase. Finally, database replication can provide fast local access, even if clients are geographically distributed clients, if data copies are located close to clients. Despite its advantages, replication is not a straightforward technique to apply, and there are many hurdles to overcome. At the forefront is replica control: assuring that data copies remain consistent when updates occur. There exist many alternatives in regard to where updates can occur and when changes are propagated to data copies, how changes are applied, where the replication tool is located, etc. A particular challenge is to combine replica control with transaction management as it requires several operations to be treated as a single logical unit, and it provides atomicity, consistency, isolation and durability across the replicated system. The book provides a categorization of replica control mechanisms, presents several replica and concurrency control mechanisms in detail, and discusses many of the issues that arise when such solutions need to be implemented within or on top of relational database systems. Furthermore, the book presents the tasks that are needed to build a fault-tolerant replication solution, provides an overview of load-balancing strategies that allow load to be equally distributed across all replicas, and introduces the concept of self-provisioning that allows the replicated system to dynamically decide on the number of replicas that are needed to handle the current load. As performance evaluation is a crucial aspect when developing a replication tool, the book presents an analytical model of the scalability potential of various replication solution. For readers that are only interested in getting a good overview of the challenges of database replication and the general mechanisms of how to implement replication solutions, we recommend to read Chapters 1 to 4. For readers that want to get a more complete picture and a discussion of advanced issues, we further recommend the Chapters 5, 8, 9 and 10. Finally, Chapters 6 and 7 are of interest for those who want get familiar with thorough algorithm design and correctness reasoning. Table of Contents: Overview / 1-Copy-Equivalence and Consistency / Basic Protocols / Replication Architecture / The Scalability of Replication / Eager Replication and 1-Copy-Serializability / 1-Copy-Snapshot Isolation / Lazy Replication / Self-Configuration and Elasticity / Other Aspects of Replication



Infosphere Data Replication For Db2 For Z Os And Websphere Message Queue For Z Os Performance Lessons


Infosphere Data Replication For Db2 For Z Os And Websphere Message Queue For Z Os Performance Lessons
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Author : Miao Zheng
language : en
Publisher: IBM Redbooks
Release Date : 2012-12-22

Infosphere Data Replication For Db2 For Z Os And Websphere Message Queue For Z Os Performance Lessons written by Miao Zheng and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-22 with Computers categories.


Understanding the impact of workload and database characteristics on the performance of both DB2®, MQ, and the replication process is useful for achieving optimal performance.Although existing applications cannot generally be modified, this knowledge is essential for properly tuning MQ and Q Replication and for developing best practices for future application development and database design. It also helps with estimating performance objectives that take these considerations into account. Performance metrics, such as rows per second, are useful but imperfect. How large is a row? It is intuitively, and correctly, obvious that replicating small DB2 rows, such as 100 bytes long, takes fewer resources and is more efficient than replicating DB2 rows that are tens of thousand bytes long. Larger rows create more work in each component of the replication process. The more bytes there are to read from the DB2 log, makes more bytes to transmit over the network and to update in DB2 at the target. Now, how complex is the table definition? Does DB2 have to maintain several unique indexes each time a row is changed in that table? The same argument applies to transaction size: committing each row change to DB2 as opposed to committing, say, every 500 rows also means more work in each component along the replication process. This RedpaperTM reports results and lessons learned from performance testing at the IBM® laboratories, and it provides configuration and tuning recommendations for DB2, Q Replication, and MQ. The application workload and database characteristics studied include transaction size, table schema complexity, and DB2 data type.



Data Replication Simple Steps To Win Insights And Opportunities For Maxing Out Success


Data Replication Simple Steps To Win Insights And Opportunities For Maxing Out Success
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Author : Gerard Blokdijk
language : en
Publisher: Complete Publishing
Release Date : 2015-10-11

Data Replication Simple Steps To Win Insights And Opportunities For Maxing Out Success written by Gerard Blokdijk and has been published by Complete Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-11 with Reference categories.


The one-stop-source powering data replication success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful data replication knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for data replication innovation - INCLUDED are numerous real-world data replication blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: What are some good papers on data replication? How data replication works in relational databases ? How does data replication work in HBase? What is data replication for mobile computers? Why isn't Virtual Synchrony used more frequently for publish/subscribe queues and data replication? How does data partition or data replication make a difference regarding distributed transaction? How can I perform a data replication of a database using tools like MySQL or SQLite? ...and much more...



Oracle Streams 11g Data Replication


Oracle Streams 11g Data Replication
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Author : Kirtikumar Deshpande
language : en
Publisher: McGraw Hill Professional
Release Date : 2010-12-22

Oracle Streams 11g Data Replication written by Kirtikumar Deshpande and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-22 with Computers categories.


Master Oracle Streams 11g Replication Enable real-time information access and data sharing across your distributed framework using the expert information in this Oracle Press guide. 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. Understand Oracle Streams components and architecture Gain in-depth knowledge about capturing, propagating, and applying data manipulation language (DML) and data definition language (DDL) changes Learn how to access and modify the contents of Logical Change Records Build custom procedures for data transformations Configure Oracle Streams replication for the database, schemas, and tables Tune Oracle Streams performance for improved throughput Manage and monitor Oracle Streams using Oracle Enterprise Manager Grid Control Learn from several practical examples and scripts



Specification And Analytical Evaluation Of Heterogeneous Dynamic Quorum Based Data Replication Schemes


Specification And Analytical Evaluation Of Heterogeneous Dynamic Quorum Based Data Replication Schemes
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Author : Christian Storm
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-24

Specification And Analytical Evaluation Of Heterogeneous Dynamic Quorum Based Data Replication Schemes written by Christian Storm and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-24 with Computers categories.


Data replication by employing quorum systems is an important concept to improve operation availability on data objects in distributed systems that have strong data consistency demands. These data replication schemes must be modeled and carefully evaluated with respect to different quality measures. Christian Storm addresses the former by a uniform data replication scheme specification method and realizes the latter by a comprehensive approach to the analytical evaluation of quorum-based data replication schemes. The system model allows to evaluate operation availability and other quality measures for the write as well as for the read operation.



Smarter Business Dynamic Information With Ibm Infosphere Data Replication Cdc


Smarter Business Dynamic Information With Ibm Infosphere Data Replication Cdc
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Author : Chuck Ballard
language : en
Publisher: IBM Redbooks
Release Date : 2012-03-12

Smarter Business Dynamic Information With Ibm Infosphere Data Replication Cdc written by Chuck Ballard and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-12 with Computers categories.


To make better informed business decisions, better serve clients, and increase operational efficiencies, you must be aware of changes to key data as they occur. In addition, you must enable the immediate delivery of this information to the people and processes that need to act upon it. This ability to sense and respond to data changes is fundamental to dynamic warehousing, master data management, and many other key initiatives. A major challenge in providing this type of environment is determining how to tie all the independent systems together and process the immense data flow requirements. IBM® InfoSphere® Change Data Capture (InfoSphere CDC) can respond to that challenge, providing programming-free data integration, and eliminating redundant data transfer, to minimize the impact on production systems. In this IBM Redbooks® publication, we show you examples of how InfoSphere CDC can be used to implement integrated systems, to keep those systems updated immediately as changes occur, and to use your existing infrastructure and scale up as your workload grows. InfoSphere CDC can also enhance your investment in other software, such as IBM DataStage® and IBM QualityStage®, IBM InfoSphere Warehouse, and IBM InfoSphere Master Data Management Server, enabling real-time and event-driven processes. Enable the integration of your critical data and make it immediately available as your business needs it.



Replication Techniques In Distributed Systems


Replication Techniques In Distributed Systems
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Author : Abdelsalam A. Helal
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-29

Replication Techniques In Distributed Systems written by Abdelsalam A. Helal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-29 with Computers categories.


Replication Techniques in Distributed Systems organizes and surveys the spectrum of replication protocols and systems that achieve high availability by replicating entities in failure-prone distributed computing environments. The entities discussed in this book vary from passive untyped data objects, to typed and complex objects, to processes and messages. Replication Techniques in Distributed Systems contains definitions and introductory material suitable for a beginner, theoretical foundations and algorithms, an annotated bibliography of commercial and experimental prototype systems, as well as short guides to recommended further readings in specialized subtopics. This book can be used as recommended or required reading in graduate courses in academia, as well as a handbook for designers and implementors of systems that must deal with replication issues in distributed systems.



Replicated Data Management For Mobile Computing


Replicated Data Management For Mobile Computing
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Author : Terry Douglas
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2008-06-08

Replicated Data Management For Mobile Computing written by Terry Douglas and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-08 with Technology & Engineering categories.


Managing data in a mobile computing environment invariably involves caching or replication. In many cases, a mobile device has access only to data that is stored locally, and much of that data arrives via replication from other devices, PCs, and services. Given portable devices with limited resources, weak or intermittent connectivity, and security vulnerabilities, data replication serves to increase availability, reduce communication costs, foster sharing, and enhance survivability of critical information. Mobile systems have employed a variety of distributed architectures from client–server caching to peer-to-peer replication. Such systems generally provide weak consistency models in which read and update operations can be performed at any replica without coordination with other devices. The design of a replication protocol then centers on issues of how to record, propagate, order, and filter updates. Some protocols utilize operation logs, whereas others replicate state. Systems might provide best-effort delivery, using gossip protocols or multicast, or guarantee eventual consistency for arbitrary communication patterns, using recently developed pairwise, knowledge-driven protocols. Additionally, systems must detect and resolve the conflicts that arise from concurrent updates using techniques ranging from version vectors to read–write dependency checks. This lecture explores the choices faced in designing a replication protocol, with particular emphasis on meeting the needs of mobile applications. It presents the inherent trade-offs and implicit assumptions in alternative designs. The discussion is grounded by including case studies of research and commercial systems including Coda, Ficus, Bayou, Sybase’s iAnywhere, and Microsoft’s Sync Framework. Table of Contents: Introduction / System Models / Data Consistency / Replicated Data Protocols / Partial Replication / Conflict Management / Case Studies / Conclusions / Bibliography



Database Replication


Database Replication
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Author : Bettina Kemme
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Database Replication written by Bettina Kemme and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


Database replication is widely used for fault-tolerance, scalability and performance. The failure of one database replica does not stop the system from working as available replicas can take over the tasks of the failed replica. Scalability can be achieved by distributing the load across all replicas, and adding new replicas should the load increase. Finally, database replication can provide fast local access, even if clients are geographically distributed clients, if data copies are located close to clients. Despite its advantages, replication is not a straightforward technique to apply, and there are many hurdles to overcome. At the forefront is replica control: assuring that data copies remain consistent when updates occur. There exist many alternatives in regard to where updates can occur and when changes are propagated to data copies, how changes are applied, where the replication tool is located, etc. A particular challenge is to combine replica control with transaction management as it requires several operations to be treated as a single logical unit, and it provides atomicity, consistency, isolation and durability across the replicated system. The book provides a categorization of replica control mechanisms, presents several replica and concurrency control mechanisms in detail, and discusses many of the issues that arise when such solutions need to be implemented within or on top of relational database systems. Furthermore, the book presents the tasks that are needed to build a fault-tolerant replication solution, provides an overview of load-balancing strategies that allow load to be equally distributed across all replicas, and introduces the concept of self-provisioning that allows the replicated system to dynamically decide on the number of replicas that are needed to handle the current load. As performance evaluation is a crucial aspect when developing a replication tool, the book presents an analytical model of the scalability potential of various replication solution. For readers that are only interested in getting a good overview of the challenges of database replication and the general mechanisms of how to implement replication solutions, we recommend to read Chapters 1 to 4. For readers that want to get a more complete picture and a discussion of advanced issues, we further recommend the Chapters 5, 8, 9 and 10. Finally, Chapters 6 and 7 are of interest for those who want get familiar with thorough algorithm design and correctness reasoning. Table of Contents: Overview / 1-Copy-Equivalence and Consistency / Basic Protocols / Replication Architecture / The Scalability of Replication / Eager Replication and 1-Copy-Serializability / 1-Copy-Snapshot Isolation / Lazy Replication / Self-Configuration and Elasticity / Other Aspects of Replication