NEW Tool:

Use generative AI to learn more about data.world

Product Launch:

data.world has officially leveled up its integration with Snowflake’s new data quality capabilities

PRODUCT LAUNCH:

data.world enables trusted conversations with your company’s data and knowledge with the AI Context Engine™

PRODUCT LAUNCH:

Accelerate adoption of AI with the AI Context Engine™️, now generally available

Upcoming Digital Event

Are you ready to revolutionize your data strategy and unlock the full potential of AI in your organization?

View all webinars

Are you swimming upstream by not streaming data?

Clock Icon 58 minutes
Sparkle

About this episode

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 features
  • 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?

Key takeaways

  • Decision is made and now an action needs to be automated.

  • Humans will look at the batch, optimize for interaction workflows. 

  • Streaming is an implementation detail.

Special guests

Avatar of Arjun Narayan
Arjun Narayan CEO, Materialize
chat with archie icon