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Available On-Demand - This webinar has been recorded and is now available for download.

Streamlining Data Migration from Legacy Systems to a Unified Data Lakehouse

Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI

Date: Thursday, November 9, 2023

Time: 9:00 a.m. PT / 12:00 p.m. ET

Held back by legacy systems that thwart achievement of data-driven objectives, many organizations today are focused on migrating to new cloud data lakehouse platforms that are elastic, are scalable, and offer a single, unified version of the truth. Getting there fast is essential to competing for customers, improving operational efficiency and excellence, and fueling innovative analytics and AI/ML.

However, data migration from legacy ETL, data warehouses, Hadoop systems, and older analytics platforms is a complex maze. Because processes are often slow and heavily manual, organizations struggle to ensure that critical code, scripts, and business logic are fully migrated from older systems to new platforms. Visibility into existing workloads, programs, and applications is often poor, which makes troubleshooting and validation difficult and tedious. Costs rise quickly. Before long, that modern, unified cloud data platform looks further away than ever.

Join this TDWI Webinar to learn how you can overcome data migration delays and difficulties and streamline progress toward a unified cloud data lakehouse. Speakers will discuss advances in automation that are enabling data teams to move faster, reduce complexity, and drive agile and informed decision-making.

Topics this webinar will cover include:

  • Best practices and modern strategies for automating transformation of legacy workloads and systems to a unified cloud data lakehouse
  • Enabling faster, more accurate, and predictable migration using analytics, automation, and validation
  • How to improve visibility into existing programs, applications, and workloads to increase confidence in complete data migration
  • Maximizing the benefits of a cloud data lakehouse so you can overcome legacy capacity and elasticity concerns, reduce costs, and establish a single source of truth

David Stodder

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