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Spark Training

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Gain essential skills taught by industry experts with our custom tailored curriculum. Work on projects that add weightage to your resume and get job ready.

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Course Overview

Tekslate’s Apache Spark training is designed to help you develop your skills and expertise in working with Big Data Hadoop System. It will enable you to gain in-depth knowledge on Apache Spark, and Scala programming language including Spark Streaming, Spark RDD, Spark SQL, GraphX programming, Spark Shell Scripting, etc., through obtaining hands-on experience by working on real-time projects under the guidance of certified trainer during training.

Highlights

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30 Hrs Instructor Led Training
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Self-paced Videos
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20 Hrs Project & Exercises
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Certification
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Job Assistance
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Flexible Schedule
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Lifetime Free Upgrade
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Spark Training Course Curriculum

Introduction to Big Data Hadoop and Apache Spark Topics:

  • What is Big Data?

  • Big Data Customer Scenarios

  • Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case

  • How Hadoop Solves the Big Data Problem?

  • What is Hadoop?

  • Hadoop’s Key Characteristics

  • Hadoop Ecosystem and HDFS

  • Hadoop Core Components

  • Rack Awareness and Block Replication

  • YARN and its Advantage

  • Hadoop Cluster and its Architecture

  • Hadoop: Different Cluster Modes

  • Big Data Analytics with Batch & Real-time Processing

  • Why Apache Spark is needed?

  • What is Apache Spark?

  • How Apache Spark differs from other frameworks?

  • What is Scala?

  • Why Scala for Apache Spark?

  • Scala in other Frameworks

  • Introduction to Scala REPL

  • Basic Scala Operations

  • Variable Types in Scala

  • Control Structures in Scala

  • For each loop, Functions and Procedures

  • Collections in Scala- Array

  • ArrayBuffer, Map, Tuples, Lists, and more

  • Apache Spark at Yahoo!

  • Functional Programming

  • Higher Order Functions

  • Anonymous Functions

  • Class in Scala

  • Getters and Setters

  • Custom Getters and Setters

  • Properties with only Getters

  • Auxiliary Constructor and Primary Constructor

  • Singletons

  • Extending a Class

  • Overriding Methods

  • Traits as Interfaces and Layered Traits

  • Apache Spark’s Place in the Hadoop Ecosystem

  • Apache Spark Components & its Architecture

  • Apache Spark Deployment Modes

  • Introduction to Apache Spark Shell

  • Writing your first Apache Spark Job Using SBT

  • Submitting Apache Spark Job

  • Apache Spark Web UI

  • Data Ingestion using Sqoop

  • Challenges in Existing Computing Methods

  • Probable Solution & How RDD Solves the Problem

  • What is RDD, Its Operations, Transformations & Actions

  • Data Loading and Saving Through RDDs

  • Key-Value Pair RDDs

  • Other Pair RDDs, Two Pair RDDs

  • RDD Lineage

  • RDD Persistence

  • WordCount Program Using RDD Concepts

  • RDD Partitioning & How It Helps Achieve Parallelization

  • Passing Functions to Apache Spark

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Hands-on Projects

Complete
Spark Projects
Practical oriented projects and use-cases will help you experience how the skills learned will solve real-time problems.
At least two projects.
Assisted lab setup to practice skills.
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Spark Training Modes of Training

Self Paced Learning
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30 Hrs of Pre-recorded videos
e-learning content
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Life-time LMS Access
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100% Practical Approach
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Labs and Practicals included
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Watch & Learn at your own pace
Online Classroom
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30 Hrs of Instructor-Led Live Training
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Doubts solving with Trainers
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Upcoming Batches
30 Sep - 30 Oct
02:30 AM IST
Weekdend
03 Oct - 03 Nov
01:30 AM IST
Weekday
07 Oct - 07 Nov
02:30 AM IST
Weekend
05 Oct - 05 Nov
02:30 AM IST
Weekday
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Years EdTech experience
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Freelance expert trainers
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Career boosting courses

For Corporates

A customized learning experience for the global corporate workforce. A tailored approach to deliver a trending skillset.

Choose the learning mode that suits you:

  • Live online training
  • Self-paced training
  • On-premises offline training

Course customization to meet project needs.

Best in class trainers for latest and niche courses.

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Spark Training Objectives

After the successful completion of Apache Spark training at Tekslate, the participant will be able to

  • Get an overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator).

  • Gain knowledge of Apache Spark and Scala Programming implementation.

  • Gain comprehensive knowledge of various tools that fall in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming.

  • Write Spark applications using Scala.

  • Understand RDD, its Operations, Transformations & Actions along with the implementation of Spark algorithms.

  • Gain knowledge on Scala classes concept and execution patterns.

  • Understand data ingestion using Sqoop.

  • Perform SQL queries using Spark SQL.

  • Use Kafka to produce and consume messages.

  • Top companies like Microsoft, Amazon, IBM, etc., are incorporating Apache Spark in their deployments.

  • There is a high market demand for certified Apache Spark developers and high salary packages are being offered to them.

  • The average pay of a Certified Apache Spark developer stands at 105,700 USD per annum.

The following job roles will get benefited from learning this course:

  • Aspirants looking for a career in this field.

  • Analytics professionals

  • Research professionals

  • IT developers and testers

  • Data scientists

  • BI and reporting professionals

  • Professionals who want to enhance their skills in Big Data analytics.

As such, there are no prerequisites for learning Apache Spark course. Anyone who is interested in learning this course can join this training.

  • Having basic knowledge of databases, SQL and query language will be beneficial, but not mandatory.

We will provide two real-time projects under the guidance of a professional trainer, who will explain you on how to acquire in-depth knowledge on all the concepts involved in these projects.

Spark Training Reviews

Its a great learning experience at Tekslate, it provides flexible course timings any time anywhere as per user convenience. I attended Apache Spark training last month. The course content they deliver is very informative and according to latest developments required for the certification exam.

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Madhu Sudan

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Earn a TekSlate Spark Training Certification

Upon completion of the training you’ll be provided a course completion certificate which adds weightage to your resume and increases your chances of getting hired.

Benefits:

  • Certification Assistance
  • Certification Sample Questions

    • course completion certificate

    Spark Training Course FAQ's

    Our trainers are well experienced professionals and certified in working with front-end development technologies.

    We will record all the Live sessions you go through, and we will send the recording of the class you missed.

    For practical execution, our trainer will provide server access to the student. 

    All our training classes are live. This is to solve all the student queries directly with the trainer.

    Live online training means, our trainer will be in online with you to solve your issues.
    Pre-recorded training means, there will be no trainer available to solve your issues.

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