To support trustworthy artificial intelligence (AI) implementations, businesses still need to properly integrate their data. A key component of data integration is providing access to current data without impacting mission-critical systems.
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React to changes in near real-time
Provide applications with current data in near real-time with low latency, improving proactive business decision-making and enriching customer experiences.
Improve business insights
It unlocks valuable mainframe data without hindering performance so that users can query, run analytics and use data for AI initiatives.
Deliver continuous operations
Minimize unplanned downtime and create up-to-date read and write standby systems for automatic failover to protect mission-critical data and enable 24x7 operations, helping to ensure disaster recovery.
Stream processing via Kafka
With IBM Data Replication, users can deliver data into Apache Kafka, the stream-processing platform for real-time processing, data distribution and event-driven applications with low latency.
A paradigm shift in data integration is coming
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Garanti BBVA, Türkiye's second-largest bank, is an integrated financial services group. It operates in every segment of the banking sector, including corporate, commercial, SME, payment systems, retail, private and investment banking. Their users require that core data is available in real time for daily tasks and reporting. To achieve this, Garanti BBVA selected IBM Data Replication for Db2 z/OS® Remote Source to make their business-critical Db2 z/OS data available to distributed targets such as Exadata and Kafka.
Insurance
Ilmarinen
Ilmarinen, Finland’s oldest pension company, which controls the pensions of Finnish employees and entrepreneurs, deployed IBM Data Replication to support their transition to a public cloud-based infrastructure. Ilmarinen’s main operative pension system runs on an IBM Db2 database, currently installed in a local data center, which will be moved to Db2 and deployed on the Google Cloud platform. With the database replication technology offered by IBM, the company maintains high availability of mission-critical data, while also helping to ensure disaster recovery.
Banking
Bank in the Middle East
A bank in the Middle East requires data-driven decisions to boost customer lifetime value. To do so, the organization needed to build a big-data warehouse and analytics platform outside of the mainframe environment, based on open source Apache Kafka stream-processing software running on commodity hardware. The bank used IBM Data Replication to seamlessly replicate terabytes of customer information files (CIFs) and transaction data stored on the z/OS mainframe as VSAM files to the Kafka target environment with low latency. As a result, the bank can quickly analyze customer information in near real-time to propose relevant products and promotions.
Banking
Garanti BBVA
Garanti BBVA, Türkiye's second-largest bank, is an integrated financial services group. It operates in every segment of the banking sector, including corporate, commercial, SME, payment systems, retail, private and investment banking. Their users require that core data is available in real time for daily tasks and reporting. To achieve this, Garanti BBVA selected IBM Data Replication for Db2 z/OS® Remote Source to make their business-critical Db2 z/OS data available to distributed targets such as Exadata and Kafka.
Insurance
Ilmarinen
Ilmarinen, Finland’s oldest pension company, which controls the pensions of Finnish employees and entrepreneurs, deployed IBM Data Replication to support their transition to a public cloud-based infrastructure. Ilmarinen’s main operative pension system runs on an IBM Db2 database, currently installed in a local data center, which will be moved to Db2 and deployed on the Google Cloud platform. With the database replication technology offered by IBM, the company maintains high availability of mission-critical data, while also helping to ensure disaster recovery.
Banking
Bank in the Middle East
A bank in the Middle East requires data-driven decisions to boost customer lifetime value. To do so, the organization needed to build a big-data warehouse and analytics platform outside of the mainframe environment, based on open source Apache Kafka stream-processing software running on commodity hardware. The bank used IBM Data Replication to seamlessly replicate terabytes of customer information files (CIFs) and transaction data stored on the z/OS mainframe as VSAM files to the Kafka target environment with low latency. As a result, the bank can quickly analyze customer information in near real-time to propose relevant products and promotions.
Take the next step
Get started with a no-cost trial of IBM Data Replication or book a consultation with an IBM expert to discuss how it can advance your specific business needs.