Are you swimming upstream by not streaming data? w/ Arjun Narayan from Materialize

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This is a podcast episode titled, Are you swimming upstream by not streaming data? w/ Arjun Narayan from Materialize. The summary for this episode is: <p>Are you on Team Batch or Team Stream? Next-gen data warehouses, lakehouses, ELT, and orchestration have made batch more modern and popular than ever, but more and more use cases - from fraud detection to smart energy grids -&nbsp; rely on continuous streams to make real-time decisions. Is streaming the coming revolution, or just another way to process data?</p> <p>Join Tim, Juan and special guest <a href="https://www.linkedin.com/in/arjunravinarayan/">Arjun Narayan</a>, CEO of <a href="https://materialize.com/">Materialize</a> to discuss all things data streams and how these pipelines fuel the modern data stack.</p> <p>This episode will feature:</p> <ul> <li>Reasons why streaming analytics still kind of sucks</li> <li>The future of batch processing in the modern data stack</li> <li>Brook, creek, or river: Which is the best stream and why?</li> </ul>

DESCRIPTION

Are you on Team Batch or Team Stream? Next-gen data warehouses, lakehouses, ELT, and orchestration have made batch more modern and popular than ever, but more and more use cases - from fraud detection to smart energy grids -  rely on continuous streams to make real-time decisions. Is streaming the coming revolution, or just another way to process data?

Join Tim, Juan and special guest Arjun Narayan, CEO of Materialize to discuss all things data streams and how these pipelines fuel the modern data stack.

This episode will feature:

  • Reasons why streaming analytics still kind of sucks
  • The future of batch processing in the modern data stack
  • Brook, creek, or river: Which is the best stream and why?