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What you'll get

  • Job Credibility
  • Certification Valid for Life
  • On-demand video*
  • E-Book
  • Self-Paced Learning
  • Certificate of Completion

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking

Discover the course "Certificate in Apache Spark" where you can already guess that you are learning all the fundamentals and the basic concepts of Apache Spark here. Let's get started with this wonderful Apache Spark framework. You'll be going deep into the internals of Spark and find out how it optimizes your execution plans here.

Here you are going to learn from the introduction of the topic to the last topic which is Spark Optimizations in detail. You will also be taught Spark Architecture overview, Spark Components, Configuring Spark, Spark RDD, Types of RDDs, Drawbacks of using RDD, Spark Dataframe and dataset, Spark SQL and many other things.

A detailed knowledge of some topics will be discussed which are:

  • Cluster-Level Optimizations.
  • Application Optimizations
  • Graph processing
  • Machine learning
  • Application Monitoring

and many different things.

For this course you will require nothing but some basic Java programming experience, it's also okay if you don't have cause this course will teach you everything from the below. You will just need a personal computer with an internet connection. Some prior programming or scripting experience is required but not needed compulsorily. Python experience will help a lot, but you can also follow from the course.

 People from a Software Development background can take up this course and enhance their skill in big data.  Students who are interested in the field of machine learning and data analysis can also take up this course to enhance their skill in working with big data and thus getting ready for the highly paid IT industry jobs.

If you are pursuing Computer science or Engineering Or you are an engineering graduate you can also opt for this course as it will help for your further job options.

If your job involves software development or working with large amounts of data, working with Spark will be a skill that you will need to know.

If you are having a career in Data Science or Data Analytics, this course is a great one to go with.

Thinking about whether you can access this course afterwards or not? Don't worry! You are given a lifetime access to this e learning. Spark is still in high demand in the job market and from this course, you will get a certificate which will help further for your job interviews. This course give you a robust foundation which will not only boost your knowledge but also your future so don't waste time and move forward with "Apache Spark"

Course Content

Total: 33 lectures
  • Introduction to Apache Spark
  • What is Spark?
  • Spark architecture overview
  • Spark language APIs
  • Spark components
  • Making the most of Hadoop and Spark
  • Apache Spark Installation
  • AWS elastic compute cloud (EC2)
  • Configuring Spark
  • Spark RDD
  • What is an RDD?
  • Programming using RDDs
  • Transformations and actions
  • Types of RDDs
  • Caching and checkpointing
  • Understanding partitions
  • Drawbacks of using RDDs
  • Spark DataFrame and Dataset
  • DataFrames
  • Datasets
  • Spark Architecture and Application Execution Flow
  • A sample application
  • Application execution modes
  • Application monitoring
  • Spark SQL
  • Spark SQL
  • Spark Streaming, Machine Learning, and Graph Analysis
  • Spark Streaming
  • Machine learning
  • Graph processing
  • Spark Optimizations
  • Cluster-level optimizations
  • Application optimizations


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