Master Big Data Realtime Streaming | Udemy


Master Big Data Realtime Streaming | Udemy
English | Size: 2.49 GB
Genre: eLearning

What you’ll learn
Learn designing an end-to-end Real-time Streaming pipeline for Big Data using latest technologies.
Understand the different components in Big Data streaming pipeline.
Use Kafka as the connecting tool between ETL components in the real-time streaming pipeline.
Use Apache Flink, Spark Streaming and Kafka Streams to perform different transformations and aggregations.
Use Druid and Pinot as OLAP technologies in the streaming pipeline.
Use Superset to visualize the real-time incoming data stream to explore and visualize the transformed data.
Hands-on Practicals helping you build all the components and forming a complete end-to-end pipeline.
Learn multiple technologies used in Real-time Streaming pipelines, and you can use the one that better suits your use-case.

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