Learn Apache Spark with Scala - The Most Popular and Useful Framework for Big Data Engineer

Apache Spark equips you with valuable skills in big data processing, analytics, and machine learning, opening up opportunities for career growth and advancement in the rapidly expanding field of data science and analytics.

In recent days, there has been a high demand for professionals who can efficiently process and analyze large-scale datasets. Apache Spark is widely used in industries such as finance, healthcare, e-commerce, and technology, making Spark skills highly sought after by employers.

Apache Spark is a versatile framework that supports a wide range of data processing tasks, including batch processing, real-time streaming analytics, machine learning, and graph processing. By learning Spark, you gain expertise in a framework that can address diverse data processing needs, increasing your marketability.

Spark Integrates with Many Big Data Ecosystem Tools

Why Choose SparkByExamples

  • Best Qualified Tutors

  • Easy Explanations

  • Simple Examples

Become a Apache Spark | Big Data Engineer

Course curriculum

    1. Install Spark on Mac

      FREE PREVIEW
    2. Install Spark on Windows

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    3. Install Spark on Linux Ubuntu

    4. Run Spark from IntelliJ

      FREE PREVIEW
    5. Run Spark Simple Program from GitHub Project

    1. What is SparkSession

      FREE PREVIEW
    2. Creating SparkSession

      FREE PREVIEW
    3. SparkSession Most Used Methods

    4. What is Spark Context?

      FREE PREVIEW
    5. What does SparkContext do?

    6. SparkContext Most Used Methods

    7. FAQ's or Interview Questions

      FREE PREVIEW
    1. RDD - Introduction

    2. RDD - Create RDD from Parallelize

    3. RDD - Collect Data from RDD

    4. RDD - Read Text Files

    5. RDD - How to Parallelize RDD?

    6. RDD - Transformations

    7. RDD - Actions

    8. RDD - Word Count Example

    9. RDD - Repartition

    10. RDD - Types of RDD

    1. Cache and Persistence

    2. Spark Persistence Levels

    3. Broadcast Shared Variable

    4. Accumulator Shared Variable

    5. RDD Learning Next Steps

    1. What is DataFrame?

    2. How DataFrame differ from RDD

    3. Creating a DataFrame

    4. DataFrame Transformations

    5. DataFrame Actions

About this course

  • $25.00
  • 66 lessons

SparkByExamples Reviews

What my learners are saying

5 star rating

Amazing Course

Eren Yeager

Its a good Course , would like to know more about spark

Its a good Course , would like to know more about spark

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5 star rating

I fully recommend the course

Marcin Tubielewicz

very well prepared material, everything clearly explained, the best course I have found on apache-spark

very well prepared material, everything clearly explained, the best course I have found on apache-spark

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5 star rating

Great Learning

Sailaja G

The Apache Spark tutorial provides a clear and well-structured introduction to Spark's fundamental concepts. It effectively combines theory with practical RDD examples, making it accessible for both beginners and intermediate users. Looking forwar...

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The Apache Spark tutorial provides a clear and well-structured introduction to Spark's fundamental concepts. It effectively combines theory with practical RDD examples, making it accessible for both beginners and intermediate users. Looking forward course in Spark SQL and DataFrame API.

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5 star rating

Great insights about the architecture of both hadoop and apache spark

Rohit Drall

It's useful for both working and non-working group and help them gain the insights in brief about the hadoop and apache spark, can take this as an base to dig deep into the big data technologies.

It's useful for both working and non-working group and help them gain the insights in brief about the hadoop and apache spark, can take this as an base to dig deep into the big data technologies.

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4 star rating

Awesome introduction to Spark

Ramaile Choeu

This course is a good introduction to Apache Spark for a beginner. As a beginner, it can be difficult to set up the appropriate environment to practice. I found the section on "Setting Up Apache Spark" assisting in this regard. The 2 eaxamples of ...

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This course is a good introduction to Apache Spark for a beginner. As a beginner, it can be difficult to set up the appropriate environment to practice. I found the section on "Setting Up Apache Spark" assisting in this regard. The 2 eaxamples of how to run a Spark application are a Maven build. It will be interesting to also see a similar process using sbt.

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