Remove apache-kafka-2-4-latest-version-updates
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Deployment of Exabyte-Backed Big Data Components

LinkedIn Engineering

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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Upgrade Journey: The Path from CDH to CDP Private Cloud

Cloudera

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.

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Data Engineering Annotated Monthly – November 2021

Big Data Tools

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

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Data Engineering Annotated Monthly – November 2021

Big Data Tools

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

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Addressing the Challenges of Sample Ratio Mismatch in A/B Testing

DoorDash Engineering

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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Designing a Real-Time ETA Prediction System Using Kafka, DynamoDB and Rockset

Rockset

For this example, we will use Kafka. The service then pushes the geohash along with the coordinates to a Kafka topic. Rockset ingests data from this Kafka topic and updates it into a collection called locations. Rockset also ingests updates from DynamoDB orders table and updates it into a collection called orders.

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How to Use Kafka for Event Streaming in a Microservices Architecture?

Workfall

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.

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