Students will learn Spark Architecture, Internals, Working with RDDs, Working with Dataframes, Using IDE, Running Spark on EMR Cluster.
Basic knowledge of scala language.
This course is designed in such a manner to cover basics to advanced concept to learn Apache Spark 3.x in most efficient and concise manner. This course will be beneficial for beginners as well as for those who already know Apache Spark. It covers in-depth details about spark internals, datasets, execution plan, Intellij IDE, EMR cluster with lots of hands on.
This course is designed for Data Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark. It does not require any prior knowledge of Apache Spark or Hadoop. Spark Architecture and fundamental concepts are explained in details to help you grasp the content of this course. This course uses the Scala programming language which is the best language to work with Apache Spark.
This course covers:
Intro to Big data ecosystem
Spark Internals in details
Understanding Spark Drivers, executors.
Understanding Execution plan in details
Setting up environment on Local/Google cloud
Working with Spark Dataframes
Working with Intellij IDE
Running Spark on EMR cluster (AWS Cloud)
Advanced Dataframe examples
Working with RDD
By the end of this course, you'll be able to answer any spark interview question and will be able to run code that analyzes gigabytes worth of information in Apache Spark in a matter of minutes.
I am a big data architect with 11 years of industry experience in different technologies and domains. I have keen interest in providing training in new technologies. I have received CCA175 Hadoop and Spark developer certification and AWS solution architect certification. I love guiding people and helping them achieve new goals.