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IBM InfoSphere Data Replication for DB2 for z/OS, V11.4.0

Improves support for zero-data-loss continuous availability and delivers performance.

IBM InfoSphere Data Replication for DB2 for z/OS, V11.4.0 improves support for zero-data-loss continuous availability and delivers performance enhancements

InfoSphere Data Replication for DB2 for z/OS, V11.4.0 provides a single offering to address a variety of data replication requirements, including continuous data availability (whether local or remote), dynamic data integration with traditional data warehousing, newer big data initiatives, and replication, to support database upgrades or migrations.

Key features of version 11.4.0 include:

  • Scalable, high-volume, low-latency replication of DB2 for z/OS data with transactional integrity between DB2 subsystems, and when used with IBM Data Replication (additional entitlement required) on a Linux, Unix, or Windows platform
  • Distributed Relational Database Management Systems (RDBMS) such as DB2, Oracle, and MS SQL Server
  • Big data targets such as Hadoop (through the use of WebHDFS), Kafka, and IBM Pure Data for Analytics
  • Distributed applications and tools such as IBM Information Server DataStage and IBM InfoSphere Master Data Management
  • Cloud targets such as DashDB, Cloudant, and various RDBMSs running on IBM and third-party cloud platforms
  • Support of most DB2 for z/OS data types (including XML and Large Objects), DB2 Temporal Table support and archive table support, and Load from Cursor for fast load of target tables
  • Designed for IBM System z with System Modification Program/Extended (SMP/E) install, Automatic Restart Manager (ARM) registration, and Resource Access Control Facility (RACF) support
  • Log-based, CDC to minimize impact on source applications and database performance
  • Easy transmission of changed data to extract, load, and transform tools such as InfoSphere DataStage
  • Support for an array of topologies, including one-way and two-way data distribution solutions between a central master site and numerous remote locations
  • Conflict detection and resolution options to support data changes made to multiple databases through bidirectional usage
  • Built-in compare utilities for determining data differences between sources and targets
  • Consolidation of data from many sources into a single target
  • Live audit and consistent change data tables for a comprehensive audit trail of source changes
  • Transformation of changed data while replicating
  • Historical data for tuning and service level agreement compliance
  • GUIs, a full-featured command-line processor and APIs to simplify replication configuration and operational management
  • Web-based health and performance monitoring

Planned availability date: February 24, 2017

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