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apache spark certification

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apache spark certification

Apache Spark Training

This Apache Spark online course has been curated according to industry current standards and trends by our leading industry experts having substantial experience in the Spark domain. Spark is a lightning-fast framework for computing memory arrays that can be used for a variety of purposes. This open-source JVM-based framework can be used to process and analyze large amounts of data and can also be used to share data across a cluster of machines. It is designed to perform both batch and stream processing, and hence it is known as an array computing platform.Apache spark tutorial will help you develop the core Apache Spark skills you need and start an exciting career as a Spark developer.

Course Overview

This Apache Spark course will help you master the basics of the open-source Apache Spark framework and the Scala programming language, including Spark Streaming, Spark SQL, Machine Learning, GraphX Programming, and Spark Shell Scripting. You will also learn about the role of Spark in overcoming the limitations of Map Reduce. Our Apache Spark tutorial covers all the critical aspects from the basic level to the professional level. Our expert instructors are proactive in parting their real-time knowledge and solve your queries at any given time. This Apache Spark training program helps you deep-dive into the Spark concepts and equip you with the required skill set to handle all the real-time issues in the organization. By the end of this course, you will learn what is Apache Spark from scratch to advanced.

  Apache Spark Certification Key Features

  • Installation and Configuration of Apache Spark
  • Understanding Apache Spark Architecture
  • Briefs on Apache Spark Python and Apache Spark Node Js
  • Provide you apache spark tutorial for your reference
  • Provide you with important Apache Spark interview questions
  • Guidance in building Apache Spark resume
  • Schedule your timings according to your convenience
  • One on One sessions
  • Provide you Apache Spark Certification upon course completion

Apache Spark Certification Key Features

This Apache Spark Certification course  is beneficial for developers, software architects, data scientists, and IT professionals who want to enhance their skill set or if they want to shift to the Apache Spark Fresher’s who want to pursue a career in Apache Spark can also opt for this course.

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Course curriculum / Syllabus

Introduction to Spark and Hadoop platform
  • What is Hadoop platform?
  • Why Hadoop platform?
  • What is Spark?
  • Why spark?
  • Discussion on evolution of Spark
Introduction to Scala
  • Understanding Functional Programing Vs Object Orient Programing
  • Using Scalable language
  • Scala Overview
SPARK Environment
  • Configuring Apache Spark
SCALA Enivronment
  • Brief on JAVA Setup
  • Understanding SCALA Editor
  • What is Interprepter?
  • What is compiler?
Deep Dive into Scala
  • Benefits of Scala
  • Language Offerings in Scala
  • Type inferencing in Scala
  • Using Variables in Scala
  • Using Functions in Scala
  • Understanding LOOPS
  • What are Control Structures?
  • What are Vals in Scala?
  • What are Arrays?
  • What are Lists in Scala?
  • Using Tuples in Scala
  • Using Sets
  • Understanding Maps in Scala
  • What are Traits and Mixins in Scala?
  • Understanding Classes and Objects in Scala
  • Uisng First class functions
  • Using Clousers in Scala
  • Using Inheritance in Scala
  • What are Sub classes? With examples?
  • What are Case Classes?
  • What are Modules in Scala?
  • Pattern Matching in Scala
  • Exception Handling in Scala
  • What is FILE Operation in Scala?
Deep Dive into Spark
  • Using Spark Shell
  • What is Parallel Programming and how to execute it?
  • What is context in Spark?
  • What is RDD (Resilient Distributed Datasets) in Spark?
  • What are Transformations in Spark?
  • Understanding Programming with RDD (Resilient Distributed Datasets)
  • What are Actions in Spark?
  • Using Broadcast Variables in Spark?
  • Using Accumulators in Spark?
Spark EcoSystem
  • Understanding Spark Streaming
  • Using MLlib concepts in Spark
  • Using GraphX concepts in Spark
  • Understanding Spark SQL concepts

apache spark certification FAQ’s:

1.What is Apache Spark?

Apache Spark is an open-source framework for distributed cluster computing and a unified analytics engine for big data processing with integrated modules for streaming, graphing, SQL and machine learning.

2.What is Apache Spark uses?

  • It is compatible with Python, Scala, Java, and R
  • Integration with Hadoop as Spark is built on Hadoop distributed file system
  • Enable faster processing of data streams in real-time
  • It can run ad-hoc queries, batch processing.

3.What is Apache Spark Vs Hadoop?

Hadoop is designed for efficient batch processing, while Spark is designed for efficient real-time processing. Hadoop is a high-latency computing framework that lacks interactive space, while Spark is a low-latency computing framework that allows for interactive data processing.

4.How do I get Apache Spark Certification?

We would provide you with Spark certificate upon the completion of the course. Many leading organizations recognize our certificate. It will give you an edge in the market and would be value add to your resume.

5.What if I miss the class?

We would provide you with a recording of the session and also an apache spark tutorial for self-study.

6.Can I get a demo class?

Yes, we provide demo classes to give confidence in continuing with QTS.

7.Are you providing Job assistance?

Yes, we do provide job assistance and also help prepare for the interview by providing sample apache spark interview questions.

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