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Liberate Legacy Data Sources with Syncsort and Databricks

Mainframe and IBM i data continues to be prevalent in several industries including financial services, insurance and retail where critical customer information lives on legacy systems. In fact, in 2019 alone, studies show that there was a 55% increase in transaction volumes on the mainframe across all industries. In order to thrive in highly competitive markets, you must quickly break down legacy data silos to swiftly gain a full picture of data for insights for strategic action.

Traditional storage solutions that are mainframe proprietary struggle to scale for high data volumes and real-time analytics use cases. This results in increased costs, diminished performance, and missed SLAs. To solve this, Syncsort and Databricks provide a modern approach for organizations to optimize volumes of data by leveraging the massive scalability of the cloud to power high-performance analytics, AI, and machine learning, regardless of where data lives.

In this webinar, we discuss:

  • Quickly ingesting data from on-premises sources – such as mainframe and IBM i – to the cloud with the Databricks Unified Data Analytics Platform and Delta Lake
  • Modernizing ETL processes and reduce development costs with visual data pipelines that uses the elastic scalability of Databricks
  • Empowering business users with the most up to date data by populating Delta Lake with real-time data changes from legacy systems

View this webinar on-demand to see a live demo of the joint solution and how it can modernize your legacy infrastructure.