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Apache Spark In-Depth (Spark with Scala)

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Apache Spark In-Depth (Spark with Scala).

Description

Learn Apache Spark From Scratch To In-Depth

From the instructor of successful Data Engineering courses on “Big Data Hadoop and Spark with Scala” and “Scala Programming In-Depth”

  • From Simple program on word count to Batch Processing to Spark Structure Streaming.
  • From Developing and Deploying Spark application to debugging.
  • From Performance tuning, Optimization to Troubleshooting

Contents all you need for in-depth study of Apache Spark and to clear Spark interviews.

Taught in very simple English language so any one can follow the course very easily.

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No Prerequisites, Good to know basics about Hadoop and Scala

Perfect place to start learning Apache Spark

Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Speed

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Run workloads 100x faster.

Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine.

Ease of Use

Write applications quickly in Java, Scala, Python, R, and SQL.

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Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells.

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Generality

Combine SQL, streaming, and complex analytics.

Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application.

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Runs Everywhere

Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources.

Who this course is for:

  • People looking to advance their career in Data Engineering, Big Data, Hadoop, Spark
  • Already working on Big Data Hadoop/ Spark and want to clear the concepts

What you’ll learn

  • Apache Spark from scratch to in-depth, starting from simple word count program to Batch Processing to Spark Structured Streaming, Performance Tuning, Optimization, Application Development and Deployment.
  • Completing this course will also make you ready for most interview questions
  • Includes Optional Project and path to success
Enroll Now!

Requirements

  • No Pre-requisite required. Curiosity to learn new technology.
  • Good to know: Hadoop Basics and Scala Basics.
  • Excellent if you have completed my below 2 data engineering courses: “Big Data Hadoop and Spark with Scala” and “Scala Programming In-Depth”
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