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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In former times, Kafka worked with Java only. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions. Kafka vs ETL.

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Kafka Hadoop ETL Tools Big Data 93
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Turning Streams Into Data Products

Cloudera

JUNE 16, 2022

Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . Laila wants to use CSP but doesn’t have time to brush up on her Java or learn Scala, but she knows SQL really well. .

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Kafka Manufacturing Data Lake SQL 86
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