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Data Engineering Weekly #151

Data Engineering Weekly

In a typical Carrot & stick approach , a thoughtful system design with an incentive to improve goes a long way over the stick approach, as noted by the author. link] Sophie Blee-Goldman: Kafka Streams and Rebalancing through the Ages Consumers come and go. Partitions, ever-present. Rebalancing, the awkward middle child.

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub! Pulsar Manager 0.3.0 – Lots of enterprise systems lack a nice management interface. This means that the Impala authors had to go above and beyond to integrate it with different Java/Python-oriented systems.

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub! Pulsar Manager 0.3.0 – Lots of enterprise systems lack a nice management interface. This means that the Impala authors had to go above and beyond to integrate it with different Java/Python-oriented systems.

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Deploying Kafka Streams and KSQL with Gradle – Part 3: KSQL User-Defined Functions and Kafka Streams

Confluent

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. jar Zip file size: 5849 bytes, number of entries: 5. jar Zip file size: 11405084 bytes, number of entries: 7422. Kafka Streams.

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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. gradlew composeUp. The KSQL pipeline flow.

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