The COVID-19 Impact on Data & Analytics Strategy

Monday, June 22nd  |  1pm ET

Reserve Your Spot


Before the pandemic, companies were already struggling to find an easier way to access distributed data. Part of the complexity is as a result of cloud, hybrid cloud, and multi-cloud models – each which bring efficiency benefits yet perpetuate data silos. Companies were starting to solve for creating consistent access to distributed data.

And then the pandemic hit, and the recession followed, and over the past 8 weeks the criticality of data access has grown exponentially while budgets have not.

We’ve reached a time where data analysts and data scientists can’t afford to wait to get the data they need to drive their businesses forward. Yet technical teams are struggling with reduced budgets.

Join Starburst CEO, Justin Borgman, and Featured Speaker, Noel Yuhanna, Vice President & Principal Analyst, Forrester Research, to understand how COVID-19 is impacting data & analytics strategies:

  • Understand how Forrester’s inquiry topics have changed in the past 8 weeks to focus more on accessing new data across silos.
  • The role cloud & open source technologies are playing in this accelerated time of need.
  • How a new entrant to the data management ecosystem – a data consumption layer – solves for fast & consistent access to distributed data.


Justin Borgman

Co-Founder & CEO, Starburst

Justin Borgman is a subject matter expert on all things big data & analytics. Prior to founding Starburst, he was Vice President & GM at Teradata (NYSE: TDC), where he was responsible for the company’s portfolio of Hadoop products. Justin joined Teradata in 2014 via the acquisition of his company Hadapt where he was co-founder and CEO. Hadapt created “SQL on Hadoop” turning Hadoop from a file system to an analytic database accessible by any BI tool.

Headshot - Justin Borgman.jpg

Noel Yuhanna

VP & Principal Analyst, Forrester Research

Noel covers big data, data warehouses, data fabric, data integration, data virtualization, Hadoop, Spark, in-memory, translytical, NoSQL, cloud, ETL, big data integration, data management, data tools, and data security for enterprise architecture professionals. His current focus is on new and emerging markets, modern data architectures, cloud and hybrid cloud deployments.


Reserve Your Spot