apache-kafka-2-4-latest-version-updates Blog Related Topics 
Workfall
JUNE 27, 2023
It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. This is where Apache Kafka comes in. Kafka can also be used to stream data from IoT devices or sensors.
LinkedIn Engineering
DECEMBER 19, 2023
Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. The system maintains a robust deployment history, seamlessly integrating with tools like version drift to detect deployed version differences.
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Cloudera
SEPTEMBER 28, 2020
The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams.
Big Data Tools
DECEMBER 7, 2021
And what better time than the holidays to catch up on the latest news and read about other interesting topics? Apache Arrow 6.0.1 – Apache Arrow presents itself as a cross-language development platform for in-memory analytics. release of Apache Arrow brings much better support for the Go language! Apache Pinot 0.9.0
Big Data Tools
DECEMBER 7, 2021
And what better time than the holidays to catch up on the latest news and read about other interesting topics? Apache Arrow 6.0.1 – Apache Arrow presents itself as a cross-language development platform for in-memory analytics. release of Apache Arrow brings much better support for the Go language! Apache Pinot 0.9.0
Knowledge Hut
DECEMBER 21, 2023
To boost database performance, data engineers also update old systems with newer or improved versions of current technology. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Knowledge of Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB.
DoorDash Engineering
OCTOBER 17, 2023
After setting up the experiment with a 50/50 split between control and treatment groups, you run the experiment for a week and see that revenue has improved 2% — a $200,000 weekly incremental revenue impact. Because employees engage with the product more, they skew the revenue impact by 2%, leading to the reported weekly $200,000 impact.
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