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Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark

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Apache Spark with Python – Big Data with PySpark and Spark



  • A computer running Windows, OSX or Linux
  • Previous Python programming skills


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What will you learn from this lecture:

In particularly, you will learn:

  • An overview of the architecture of Apache Spark.
  • Develop Apache Spark 2.0 applications with Python using RDD transformations and actions and Spark SQL.
  • Work with Apache Spark’s primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
  • Deep dive into advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
  • Scale up Spark applications on a Hadoop YARN cluster through Amazon’s Elastic MapReduce service.
  • Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding of Spark SQL.
  • Share information across different nodes on an Apache Spark cluster by broadcast variables and accumulators.
  • Best practices of working with Apache Spark in the field.
  • Big data ecosystem overview.

Why should you learn Apache Spark:

Apache Spark gives us unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption to the big data world.

Spark provides in-memory cluster computing which greatly boosts the speed of iterative algorithms and interactive data mining tasks.

Apache Spark is the next-generation processing engine for big data.

Tons of companies are adapting Apache Spark to extract meaning from massive data sets, today you have access to that same big data technology right on your desktop.

Apache Spark is becoming a must tool for big data engineers and data scientists.

What programming language is this course taught in?

This course is taught in Python. Python is currently one of the most popular programming languages in the world! It’s rich data community, offering vast amounts of toolkits and features makes it a powerful tool for data processing.

Let’s learn how to write Spark programs with Python to model big data problem today!


Who is the target audience?
  • Anyone who want to fully understand how Apache Spark technology works and learn how Apache Spark is being used in the field.
  • Software engineers who want to develop Apache Spark 2.0 applications using Spark Core and Spark SQL.
  • Data scientists or data engineers who want to advance their career by improving their big data processing skills.
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Learn Apache Spark with Python – Big Data

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