Apache Spark Full Course | Spark Tutorial For Beginners | Complete Spark Tutorial | Simplilearn

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.

Free Big Data Hadoop & Spark Developer Course: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=ApacheSparkFullCourse&utm_medium=Description&utm_source=youtube

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

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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=Spark-Full-Course&utm_medium=Description&utm_source=youtube

Free Big Data Hadoop & Spark Developer Course: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=ApacheSparkFullCourse&utm_medium=Description&utm_source=youtube

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