To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores.
The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service-oriented architecture (SOA), business analytics, and extract-transform-load (ETL) or data quality processes. It also delivers outstanding capabilities for loading real-time information into a data warehouse or operational data store, which can help organizations enhance business agility and visibility into key processes. In addition to direct delivery of changing data to Hadoop, IBM data replication can deliver data to Apache Kafka, providing an ideal big data landing zone and point of enterprise integration for changing transactional source data. Using a Kafka landing zone simplifies the delivery of operational data to multiple consumers such as Hadoop/HDFS, cloud data stores and event-driven consumers.