Udemy Free Coupon - Apache Spark Streaming with Python and PySpark

Add Big Data Streaming to your Data Science and Machine Learning Python Projects

 


What will i learn?

  • Create big data streaming pipelines with Spark using Python
  • Run analytics on live Tweet data from Twitter
  • Integrate Spark Streaming with tools like Apache Kafka, used by Fortune 500 companies
  • Work with new features of the most recent version of Spark: 2.3

  • Description



    What will you learn from this lecture?
    In this couse, you'll learn the following:
    • An overview of the architecture of Apache Spark.
    • How to develop Apache Spark 2.0 applications with PySpark using RDD transformations and actions and Spark SQL.
    • How to work with Spark's primary abstraction, resilient distributed datasets(RDDs), to process and analyze large data sets.
    • Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
    • Analyzing structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding of Spark SQL.
    • How to scale up Spark Streaming applications for both bandwidth and processing speed
    • How to integrate Spark Streaming with cluster computing tools like Apache Kafka
    • How to connect your Spark Stream to a data source like Amazon Web Services (AWS) Kinesis
    • Best practices of working with Apache Spark in the field.
    • Big data ecosystem overview.

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