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Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Architecture Difference The first difference is the Data Model. Fluss in the architecture can augment the existing Lakehouse with mill-second-level fresh data insights. Pinot provides SQL for OLAP queries and BI tool integrations.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Now, data engineers barely have to investigate the issue because the root cause is right in front of you,” said Kineret Kimhi, BI and Data Engineering Manager, BlaBlaCar. That can only be done with a data observability platform that leverages data lineage integrated down to the BI level. ” 36.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Now, data engineers barely have to investigate the issue because the root cause is right in front of you,” said Kineret Kimhi, BI and Data Engineering Manager, BlaBlaCar. That can only be done with a data observability platform that leverages data lineage integrated down to the BI level. ” 36.