Data Engineering Weekly

DECEMBER 3, 2023

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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Big Data Tools

JUNE 8, 2022

And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. RocksDB is a storage engine with a key/value interface, where keys and values are arbitrary byte streams written as a C++ library. Of course, the main topic is data streaming.

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Big Data Tools

JUNE 8, 2022

And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. RocksDB is a storage engine with a key/value interface, where keys and values are arbitrary byte streams written as a C++ library. Of course, the main topic is data streaming.

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Confluent

JULY 10, 2019

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. gradlew composeUp.

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Confluent

MAY 29, 2019

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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