- March 17, 2026
- 0 min 24 sec read
In today’s digital economy, real-time data is no longer optional — it is essential. Organizations rely on timely insights to power analytics, dashboards, AI models, and cloud applications. However, many enterprises still run their most critical workloads on mainframe systems such as VSAM, DB2 for z/OS, and IMS — alongside modern databases like Oracle, SQL Server, Cassandra, and various cloud platforms. This raises a key question: How does enterprise data move from legacy systems to modern analytics platforms in near real time?
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