WebSphere Replication Server for Z/OS Using Q Replication


Book Description

This IBM Redbooks publication provides detailed instructions and scripts for managing failover and switchback in a WebSphere Replication Server for z/OS bidirectional Q replication environment for the z/OS platform. A typical business scenario is used to showcase the bidirectional failover/switchback implementation. This book also includes a WebSphere MQ shared disk and WebSphere MQ shared queue high availability scenario for the source system in a Q replication environment involving unidirectional replication. Key considerations in designing and implementing such environments are discussed. This book is aimed at an audience of IT architects and database administrators (DBAs) responsible for developing high-availability solutions on the z/OS platform. Please note that the additional material referenced in the text is not available from IBM.







IBM InfoSphere Replication Server and Data Event Publisher


Book Description

Design, implement, and monitor a successful Q replication and Event Publishing project with IBM InfoSphere Replication Server and Data Event Publisher using this book and eBook.




Understanding and Using Q Replication for High Availability Solutions on the IBM z/OS Platform


Book Description

With ever-increasing workloads on production systems from transaction, batch, online query and reporting applications, the challenges of high availability and workload balancing are more important than ever. This IBM® Redbooks® publication provides descriptions and scenarios for high availability solutions using the Q Replication technology of the IBM InfoSphere® Data Replication product on the IBM z/OS® platform. Also included are key considerations for designing, implementing, and managing solutions for the typical business scenarios that rely on Q Replication for their high availability solution. This publication also includes sections on latency analysis, managing Q Replication in the IBM DB2® for z/OS environment, and recovery procedures. These are topics of particular interest to clients who implement the Q Replication solution on the z/OS platform. Q Replication is a high-volume, low-latency replication solution that uses IBM WebSphere® MQ message queues to replicate transactions between source and target databases or subsystems. A major business benefit of the low latency and high throughput solution is timely availability of the data where the data is needed. High availability solutions are implemented to minimize the impact of planned and unplanned disruptions of service to the applications. Disruption of service can be caused by software maintenance and upgrades or by software and hardware outages. As applications' high availability requirements evolve towards continuous availability, that is availability of the data 24 hours a day and 7 days a week, so does the Q Replication solution, to meet these challenges. If you are interested in the Q Replication solution and how it can be used to implement some of the high availability requirements of your business scenarios, this book is for you.







The Value of Active-Active Sites with Q Replication for IBM DB2 for z/OS An Innovative IBM Client's Experience


Book Description

Any business interruption is a potential loss of revenue. Achieving business continuity involves a tradeoff between the cost of an outage or data loss with the investment required for achieving the recovery point objective (RPO) and recovery time objective (RTO). Continuous system availability requires scalability, as well as failover capability for maintenance, outages, and disasters. It also requires a shift from standby to active-active systems. Active-active sites are geographically distant transaction processing centers, each with the infrastructure to run business operations and with data synchronized by using database replication, such as the Q Replication technology that is part of IBM® InfoSphere® Data Replication software. This IBM Redbooks® publication describes preferred practices and introduces an architecture for continuous availability and disaster recovery that is used by a very large business institution that runs its core business on IBM DB2® for z/OS® databases. This paper explains the technologies and procedures that are required for the implementation of an active-active sites architecture. It also explains an innovative procedure for major IT upgrades that uses Q Replication for DB2 on z/OS, Multi-site Workload Lifeline, and Peer-to-Peer Remote Copy/Extended Distance (PPRC-XD). This paper is of value to decision makers, such as executive and IT architects, and to database administrators who are responsible for design and implementation of the solution.




Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC


Book Description

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.




InfoSphere Data Replication for DB2 for z/OS and WebSphere Message Queue for z/OS: Performance Lessons


Book Description

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.




MySQL to DB2 Conversion Guide


Book Description

Switching database vendors is often considered an exhausting challenge for database administrators and developers. Complexity, total cost, and the risk of downtime are often the reasons that restrain IT decision makers from starting the migration project. The primary goal of this book is to show that, with the proper planning and guidance, converting from MySQL to IBM® DB2® is not only feasible but straightforward. If you picked up this book, you are most likely considering converting to DB2 and are probably aware of several of the advantages of to converting to DB2 data server. In this IBM Redbooks® publication, we discuss in detail how you can take advantage of this industry leading database server. This book is an informative guide that describes how to convert the database system from MySQLTM 5.1 to DB2® V9.7 on Linux® and the steps that are involved in enabling the applications to use DB2 instead of MySQL. This guide also presents the best practices in conversion strategy and planning, conversion tools, porting steps, and practical conversion examples. It is intended for technical staff that is involved in a MySQL to DB2 conversion project.




InfoSphere DataStage for Enterprise XML Data Integration


Book Description

XML is one of the most common standards for the exchange of information. However, organizations find challenges in how to address the complexities of dealing with hierarchical data types, particularly as they scale to gigabytes and beyond. In this IBM® Redbooks® publication, we discuss and describe the new capabilities in IBM InfoSphere® DataStage® 8.5. These capabilities enable developers to more easily manage the design and processing requirements presented by the most challenging XML sources. Developers can use these capabilities to create powerful hierarchical transformations and to parse and compose XML data with high performance and scalability. Spanning both batch and real-time run times, these capabilities can be used to solve a broad range of business requirements. As part of the IBM InfoSphere Information Server 8.5 release, InfoSphere DataStage was enhanced with new hierarchical transformation capabilities called . XML Stage provides native XML schema support and powerful XML transformation functionality. These capabilities are based on a unique state-of-the-art technology that allows you to parse and compose any complex XML structure from and to a relational form, as well as to a separate hierarchical form. This book is targeted at an audience of systems designers and developers who focus on implementing XML integration support in their environments.