Apache Beam – A Hands-On course to build Big data Pipelines
Apache Beam – A Hands-On course to build Big data Pipelines Free Tutorial Download
What you’ll learn
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Learn Apache Beam with its Real-Time implementation.
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Build Real-Time business’s Big data processing pipelines using Apache Beam.
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Learn a portable programming model whose pipelines can be deployed on Spark, Flink, GCP (Google Cloud Dataflow) etc.
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Understand the working of each and every component of Apache Beam with HANDS-ON Practicals.
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Develop pipelines for Real world Big data case studies in various business domains.
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Data-sets and Beam codes used in lectures are available in resources tab. This will save your typing efforts.
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Course will be updated upon each new Beam version update.
Requirements
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Basic knowledge of Distributed data processing architecture.
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Basic knowledge of Python would be helpful.
Apache Beam is a unified and portable programming model for both Batch and Streaming use cases.
Earlier we could run Spark, Flink & Cloud Dataflow Jobs only on their respective clusters. But now Apache Beam has come up with a portable programming model where we can build language agnostic Big data pipelines and run it using any Big data engine (Apache Spark, Flink or in Google Cloud Platform using its Cloud Dataflow and many more Big data engines).
Apache Beam is the future of building Big data processing pipelines and is going to be accepted by mass companies due to its portability. Many big companies have even started deploying Beam pipelines in their production servers.
What’s included in the course ?
Download Apache Beam – A Hands-On course to build Big data Pipelines Free
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