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:
- Animated Video
- History of Spark
- What is Spark
- Hadoop vs spark
- Components of Apache Spark
- Spark Architecture
- Applications of Spark
- Spark Use Case
- Running a Spark Application
- Apache Spark installation on Windows
- Apache Spark installation on Ubuntu
- What is Spark Streaming
- Spark Streaming data sources
- Features of Spark Streaming
- Working of Spark Streaming
- Discretized Streams
- caching/persistence
- checkpointing in spark streaming
- Demo on Spark Streaming
- What is Spark MLlib
- What is Machine Learning
- Machine Learning Algorithms
- Spark MLlib Tools
- Spark MLlib Data Types
- Machine Learning Pipelines
- Spark MLlib Demo
- What is Spark SQL
- Spark SQL Features
- Spark SQL Architecture
- Spark SQL Data Frame
- Spark SQL Data Source
- Spark SQL Demo
- What is PySpark
- PySpark Features
- PySpark with Python and Scala
- PySpark Contents
- PySpark Sub packages
- Companies using PySpark
- PySpark Demo
- 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:
- Advance your expertise in the Big Data Hadoop Ecosystem
- 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:
- Understand the limitations of MapReduce and the role of Spark in overcoming these limitations
- Understand the fundamentals of the Scala programming language and its features
- Explain and master the process of installing Spark as a standalone cluster
Who should take this Scala course?
- Professionals aspiring for a career in the field of real-time big data analytics
- Analytics professionals
- Research professionals
- IT developers and testers
Learn more at: https://www.simplilearn.com/big-data-and-analytics/apache-spark-scala-certification-training?utm_campaign=morioh.com
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