Extending the scope and utility of data integration
It is said that more data has been created in the past two years than in the entire preceding history of mankind. It would be interesting to find out how much of this data has been analyzed and put to good use. Analyzing and harnessing big data is undoubtedly the major challenge of the day for all organizations. This challenge can be overcome by addressing the following three questions:
- How can an organization find the meaningful information hidden within its vast data stores?
- How can existing IT infrastructures cost effectively adapt to the exponentially increasing demands for real time data?
- And, how can an organization proactively interact with its customers to improve customer satisfaction and optimize revenue?
Data replication to the rescue
A way to overcome the above challenges is by having a robust data replication system in place. It can help an organization cope with the above challenges of exploiting and managing data by supporting data integration within the organization. Data replication solutions can also provide trusted data synchronization (including change data capture capabilities) and availability. This enables organizations to efficiently manage data growth while increasing revenue by using up-to-the-minute information. Real-time operational and analytical data synchronization can enrich big data systems and mobile applications, and empower the event-driven business.
A good data replication platform is one that replicates high volumes of (big) data with very low latency, making data replication ideal for multi-site workload distribution and continuous availability, whether across the data center or around the world. It provides robust support for a wide range of sources, targets, and platforms. This ensures that the right data is available in data warehouses, data marts, and point-of-impact solutions, while enabling optimal IT resource utilization and rapid ROI.
Extending the scope of data management with data replication
IBM has recently extended its investment in the data replication space by offering IBM Data Replication v11.4, that introduces new capabilities, including the change data capture Kafka target engine component which can be used to deliver data to Apache Kafka. It also supports zero-downtime migrations and upgrades. The data replication portfolio provides a highly scalable, low-impact, and enterprise-ready data replication platform. This allows for dynamic, near-real time, incremental delivery of transactional relational data to a broad spectrum of database and big data targets. Learn more about IBM’s Data Replication solutions.