4.8

Description

  Apache Spark and Scala training by Tekslate will help you master the advanced concepts of  Apache Spark open source framework and the Scala programming language, which includes Spark Streaming, Spark SQL, machine learning programming, GraphX programming, Shell Scripting Spark, etc., through real-world examples. You will also be allowed to work on the real-time implementation of Apache Spark and Scala projects under the guidance of a Certified Instructor. Our training will deve

Key Features

  • 30 hours of Instructor Led Apache Spark and Scala Training
  • Lifetime Access to Recorded Sessions
  • Practical Approach
  • 24/7 Support
  • Expert & Certified Trainers
  • Real World use cases and Scenarios
Trusted By Companies Worldwide

Course Overview

After the successful completion of Apache Spark and Scala 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 on the fundamentals of the Scala programming language, and its features.

  • Work with Resilient Distributed Datasets (RDD) for creating applications in Spark.

  • Master Structured Query Language (SQL) using SparkSQL.

  • Get an overview of the features of Spark ML programming and GraphX programming.

  • Understand Flume and its components.

  • Integrate Kafka with real-time streaming systems like Flume.

 

  • Many top companies are incorporating Apache Spark and Scala in their deployments around the world.
  • Currently, there are numerous job opportunities available for Apache Spark and Scala professionals worldwide.

  • Certified Apache Spark and Scala professionals are earning more salaries compared to other technology professionals.

  • The average salary of an Apache Spark and Scala professional is 133,184 USD per annum.

 

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

  • Developers and Architects
  • BI /ETL/DW Professionals

  • Senior IT Professionals

  • Testing Professionals

  • Mainframe Professionals

  • Freshers

  • Big Data Enthusiasts

  • Software Architects, Engineers and Developers

  • Data Scientists and Analytics Professionals

There are no specific prerequisites for learning Apache Spark and Scala course. This course can be pursued regardless of learners’ skills.

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

Course Curriculum

  • Overview of BigData and Spark

  • MapReduce limitations

  • Spark History

  • Spark Architecture

  • Spark and Hadoop Advantages

  • Benefits of Spark + Hadoop

  • Introduction to Spark Eco-system

  • Spark Installation

  • Scala foundation

  • Features of Scala

  • Setup Spark and Scala on Ubuntu and Windows OS

  • Install IDE's for Scala

  • Run Scala Codes on Scala Shell

  • Understanding Data types in Scala

  • Implementing Lazy Values

  • Control Structures

  • Looping Structures

  • Functions

  • Procedures

  • Collections

  • Arrays and Array Buffers

  • Map's, Tuples and Lists

  • Implementing Classes

  • Implementing Getter & Setter

  • Object & Object Private Fields

  • Implementing Nested Classes

  • Using Auxilary Constructor

  • Primary Constructor

  • Companion Object

  • Apply Method

  • Understanding Packages

  • Override Methods

  • Type Checking

  • Casting

  • Abstract Classes

  • Understanding Functional programming in Scala

  • Implementing Traits

  • Layered Traits

  • Rich Traits

  • Anonymous Functions

  • Higher Order Functions

  • Closures and Currying

  • Performing File Processing

  • Spark Shell and PySpark

  • Basic operations on Shell

  • Spark Java projects

  • Spark Context and Spark Properties

  • Persistence in Spark

  • HDFS data from Spark

  • Implementing Server Log Analysis using Spark

  • Understanding RDD

  • Loading data into RDD

  • Scala RDD, Paired RDD, Double RDD & General RDD Functions

  • Implementing HadoopRDD, Filtered RDD, Joined RDD

  • Transformations, Actions and Shared Variables

  • Spark Operations on YARN

  • Sequence File Processing

  • Partitioner and its role in Performance improvement

  • Introduction to Spark Streaming

  • Introduction to Spark SQL

  • Querying Files as Tables

  • Text file Format

  • JSON file Format

  • Parquet file Format

  • Hive and Spark SQL Architecture

  • Integrating Spark & Apache Hive

  • Spark SQL performance optimization

  • Implementing Data visualization in Spark

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.

You can contact our Tekslate support team, or you can send an email to info@tekslate.com for your queries.

Yes, you can access the course material after completing course by the recorded training videos we shared with you during training.

To avail all discounts offered by Tekslate, you need to visit the website regularly. However, there will be a group discount for 2 or more participants.

Yes, you will get your refund by cancelling some administration fee from the course. But, you should cancel your enrolment within 48 hours of registration, and then the refund will be retained within 30 days of a request.

Certifications

The popular certifications available for Apache Spark and Scala are listed below:

CCA Spark and Hadoop Developer

HDP Apache Spark Developer Certification

By enrolling into Tekslate’s training, you will gain a strong foundation on Apache Spark and Scala concepts and work on projects which are in-line with Apache Spark and Scala Certification Exam.

Through this, you will be able to clear your Apache Spark and Scala Certification Exam in first submit itself.