Real-Time Data Transformation and Analytics with dbt Labs

Real-Time Data Transformation and Analytics with dbt Labs

dbt is known as being part of the Modern Data Stack for ELT processes. Being in the MDS, dbt Labs believes in having the best of breed for every part of the stack. Oftentimes folks are using an EL tool like Fivetran to pull data from the database into the warehouse, then using dbt to manage the transformations in the warehouse. Analysts can then build dashboards on top of that data, or execute tests. It’s possible for an analyst to adapt this process for use with a microservice application u...

Episoder(282)

Magnus Edenhill on librdkafka 1.0

Magnus Edenhill on librdkafka 1.0

After several years of development, librdkafka has finally reached 1.0! It remains API compatible with older versions of the library, so you won’t need to make any changes to your application. There a...

3 Apr 201946min

Ask Confluent #11: More Services, More Metrics, More Fun

Ask Confluent #11: More Services, More Metrics, More Fun

Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent. EPISODE LINKS The Java ...

26 Mar 201914min

It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

Nick Dearden explains the five stages of streaming maturity. They are not denial, anger, bargaining, depression and acceptance—that’s the Kübler-Ross model, and it’s for bad things. This one is for aw...

18 Mar 201936min

Containerized Apache Kafka On Kubernetes with Viktor Gamov

Containerized Apache Kafka On Kubernetes with Viktor Gamov

Kubernetes provides all the building blocks needed to run stateful workloads, but creating a truly enterprise-grade Apache Kafka® platform that can be used in production is not always intuitive. In th...

11 Mar 201941min

Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

We all know that feeling of waiting when your ride is running late. Leslie Kurt shares about how you can use KSQL to calculate the difference between the expected arrival time and real-time updates of...

4 Mar 201919min

KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

When you are dealing with streaming data, it might seem like tables are things that dwell in the far-off land of relational databases, outside of Apache Kafka and your event streaming system. But then...

27 Feb 201945min

Splitting and Routing Events with KSQL ft. Pascal Vantrepote

Splitting and Routing Events with KSQL ft. Pascal Vantrepote

Tim Berglund chats with System Engineer Pascal Vantrepote about a KSQL recipe he created based on a real-life customer use case in the financial services industry. They also discuss the advantages of ...

25 Feb 201920min

Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

Want to know how Kafka Connect distributes tasks to workers? Always thought Connect rebalances could be improved? In this episode of Ask Confluent, Gwen Shapira speaks with Konstantine Karantasis, sof...

20 Feb 201921min

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