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Roksolana Diachuk at #ScalaUA - Streaming data processing with Apache Spark

ScalaUA Conference

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Intermediate. Assumes working knowledge.

661 views7 years ago1 recommendation

Databases and dataDistributed systemsScalaData engineering and warehousesKafka and stream processing

Roksolana Diachuk compares legacy Spark Streaming with Structured Streaming, demonstrating use cases and challenges with visual examples.

Roksolana Diachuk at #ScalaUA - Streaming data processing with Apache Spark Many business decisions strive to use real-time data in order to create more accurate results. And there are specified approaches to such data processing. One of the most popular approaches is implemented using Spark Streaming module of the Apache Spark. This talk helps you to learn about legacy streaming data processing as well as structured streaming, possible use cases and challenges. A set of short visual examples guides you through the features of both streaming data processing types. Follow ScalaUA Conference on Twitter: twitter.com/@ScalaUA_Conf

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