Spark Full Course | Spark Tutorial For Beginners | Learn Apache Spark

Spark Full Course | Spark Tutorial For Beginners | Learn Apache Spark

This Apache Spark full course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Then, you will understand how to install Apache Spark on Windows and Ubuntu. You will look at the important components of Spark, such as Spark Streaming, Spark MLlib, and Spark SQL. Finally, you will get an idea about implement Spark with Python in PySpark tutorial and look at some of the important Apache Spark interview questions.

This Apache Spark full course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Then, you will understand how to install Apache Spark on Windows and Ubuntu. You will look at the important components of Spark, such as Spark Streaming, Spark MLlib, and Spark SQL. Finally, you will get an idea about implement Spark with Python in PySpark tutorial and look at some of the important Apache Spark interview questions.

Below topics are explained in this Apache Spark Full Course:

  1. Animated Video
  2. History of Spark
  3. What is Spark
  4. Hadoop vs spark
  5. Components of Apache Spark
  6. Spark Architecture
  7. Applications of Spark
  8. Spark Use Case
  9. Running a Spark Application
  10. Apache Spark installation on Windows
  11. Apache Spark installation on Ubuntu
  12. What is Spark Streaming
  13. Spark Streaming data sources
  14. Features of Spark Streaming
  15. Working of Spark Streaming
  16. Discretized Streams
  17. caching/persistence
  18. checkpointing in spark streaming
  19. Demo on Spark Streaming
  20. What is Spark MLlib
  21. What is Machine Learning
  22. Machine Learning Algorithms
  23. Spark MLlib Tools
  24. Spark MLlib Data Types
  25. Machine Learning Pipelines
  26. Spark MLlib Demo
  27. What is Spark SQL
  28. Spark SQL Features
  29. Spark SQL Architecture
  30. Spark SQL Data Frame
  31. Spark SQL Data Source
  32. Spark SQL Demo
  33. What is PySpark
  34. PySpark Features
  35. PySpark with Python and Scala
  36. PySpark Contents
  37. PySpark Sub packages
  38. Companies using PySpark
  39. PySpark Demo
  40. Spark Interview Questions

This Apache Spark and Scala certification training is designed to advance your expertise working with the Big Data Hadoop Ecosystem. You will master essential skills of the Apache Spark open source framework and the Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark. This Scala Certification course will give you vital skillsets and a competitive advantage for an exciting career as a Hadoop Developer.

What is this Big Data Hadoop training course about? The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.

What are the course objectives? Simplilearn’s Apache Spark and Scala certification training are designed to:

  1. Advance your expertise in the Big Data Hadoop Ecosystem
  2. Help you master essential Apache and Spark skills, such as Spark Streaming, Spark SQL, machine learning programming, GraphX programming and Shell Scripting Spark

What skills will you learn? By completing this Apache Spark and Scala course you will be able to:

  1. Understand the limitations of MapReduce and the role of Spark in overcoming these limitations
  2. Understand the fundamentals of the Scala programming language and its features
  3. Explain and master the process of installing Spark as a standalone cluster

Who should take this Scala course?

  1. Professionals aspiring for a career in the field of real-time big data analytics
  2. Analytics professionals
  3. Research professionals
  4. IT developers and testers

Learn more at: https://www.simplilearn.com/big-data-and-analytics/apache-spark-scala-certification-training?utm_campaign=morioh.com

spark big-data apache-spark

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