Apache Spark and Scala Training

Apache Spark and Scala Online Course with Certification

Learn Scala and Apache Spark online. The course covers RDDs, Spark Core, Spark SQL, Spark Streaming, Kafka and Spark on Google Cloud Dataproc. Choose live online, classroom or self paced learning. You receive a certificate of completion.

★ 4.3 out of 5 rating 15k+ learners trained Certificate on completion

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Recorded Classes on LMS
Hands On Practicals
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Live Online, Classroom and Self Paced

Projects

A Practical in Every Module

Certification

Certificate of Completion

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Fees Start At

₹5,000

Who Should Take This Apache Spark and Scala Course?

This course is for:

Software Engineers

Upgrade your big data skills and add Scala and Spark to your toolset.

Data Engineers and ETL Developers

Process large datasets with Spark Core, Spark SQL and Spark Streaming.

Data Scientists and Analytics Professionals

Move your analysis onto a distributed engine that handles large data.

Graduates

Start a career in big data and analytics with a structured course.

Not sure which course is right for you?

Take our 2 minute course finder to choose between Apache Spark Scala, PySpark, Big Data and Python.

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Learn Apache Spark with Scala: What You Will Learn

Big Data and Spark Basics RDDs Scala Object Oriented Scala Spark Core Spark SQL Spark Streaming Spark on GCP Dataproc

By the end of the course, you'll be able to:

Explain the limits of MapReduce, Spark architecture and how Spark works with Hadoop
Install Spark and Scala on Windows and Ubuntu and run code in the Scala shell
Write Scala programs with functions, collections, classes, objects and abstract classes
Work with RDDs: transformations, actions, key value pairs, shared variables and partitioners
Run Spark jobs on YARN and process sequence files
Query data with Spark SQL and DataFrames, read text, JSON and Parquet files, and use Hive
Build streaming jobs with discretized streams and connect them to Kafka and Flume
Set up a Google Cloud project and run Spark on Cloud Dataproc with Cloud Storage in place of HDFS

Apache Spark and Scala tools

Scala

Apache Spark

Spark SQL

Spark Streaming

Hive

YARN

Kafka

GCP Dataproc

Hands On Spark and Scala Practicals

Practical 01

Scala and Spark Setup

Tools: Scala, Spark shell

You'll build:

Spark and Scala installed on Windows and Ubuntu
An IDE set up for Scala
Scala code run in the Scala shell
A Spark shell with a Spark context

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Practical 02

RDD Practicals

Tools: Scala, Spark RDDs

You'll build:

RDDs loaded with data
HadoopRDD, filtered RDD and joined RDD
Transformations and actions
Shared variables

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Practical 03

Streaming Practicals

Tools: Spark Streaming, Kafka, Flume

You'll build:

Distributed log files processed in real time
Transformations and actions on discretized streams
Integration with Flume and Kafka
Monitoring of streaming jobs

View Practical →

Each practical gives you something specific to explain in an interview.

Spark and Scala Career Roles After This Course

Course

Skill Building

Hands On Practicals

Real Time Project

CV Help

Interview Preparation

Job Assistance

Career roles you can target

Role	Core Skills
Spark Developer	Scala, RDDs, Spark Core, Spark SQL
Big Data Developer	Spark, Hive, YARN
ETL Developer	Spark SQL, DataFrames, Parquet and JSON
Streaming Data Trainee	Spark Streaming, Kafka
Junior Data Engineer	Scala, Spark SQL, GCP Dataproc

Job assistance is described below with what it includes. These roles are examples of where the skills are used. This course does not guarantee a job offer.

How Prwatech supports your job search

What job assistance includes, in detail.

01

CV Help

Get help creating a professionally written CV.

02

Interview Preparation

Get guidance for interview preparation and common interview questions.

03

Real Time Project

Work on an industry grade project to see how data teams use Spark.

04

Screening Test

Learners who pass the screening test receive interview calls.

05

Job Assistance

[Describe exactly what else this includes, such as referrals or a job board.]

92% learners placed since 2010

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Why Learn Apache Spark with Prwatech

15+ Years

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15k+

Learners Trained

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Apache Spark Trainers

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Student Reviews

★ 4.3 average from 299+ verified Google reviews

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Before → After

Before	After
No Scala knowledge	Scala programs with classes, collections and functions
No Spark experience	RDD programming and Spark Core jobs
SQL on small data only	Spark SQL and DataFrames on large data
No streaming experience	Spark Streaming jobs with Kafka

Apache Spark and Scala Course Syllabus

1. Introduction to Big Data and Spark

Overview of big data and Spark
MapReduce limitations
Spark history and Spark architecture
Spark and Hadoop advantages, and the benefits of using them together
Introduction to the Spark ecosystem

2. Apache Spark Installation and Working with RDDs

Installing Apache Spark on a local machine
Understanding RDDs and loading data into an RDD
Scala RDD, general RDD, paired RDD and double RDD functions
Implementing HadoopRDD, filtered RDD and joined RDD
Transformations, actions and shared variables
Spark operations on YARN and sequence file processing
The partitioner and its role in performance improvement

3. Introduction to Scala

Scala foundation and features
Setting up Spark and Scala on Windows and Ubuntu
Installing IDEs for Scala and running code in the Scala shell
Data types and lazy values
Control structures, looping structures, functions and procedures
Collections, arrays and array buffers
Maps, tuples and lists

4. Object Oriented Programming in Scala

Implementing classes, getters and setters
Objects and object private fields, and nested classes
Auxiliary and primary constructors
Companion objects and the apply method
Packages, overriding methods, type checking and casting
Abstract classes

5. Spark Core

Batch versus real time data processing
Introduction to Spark, and Spark compared with Hadoop
Coding Spark jobs in Scala
The Spark shell and creating a Spark context
RDD programming: operations, transformations and actions
Loading and saving data
Key value pair RDDs and broadcast variables

6. Spark SQL

Introduction to Apache Spark SQL and the SQL context
Importing and saving data
Processing text, JSON and Parquet files
DataFrames and user defined functions
Using Hive and a local Hive metastore server

7. Spark Streaming

Introduction to Spark Streaming and its architecture
Processing distributed log files in real time
Discretized streams
Transformations and actions on streaming data
Integration with Flume and Kafka
Monitoring streaming jobs

8. Google Cloud and Dataproc

Module 8: creating a Compute Engine project, enabling billing, adding team members, Compute Engine resources and how to manage them
Module 9: the Hadoop ecosystem, running Hadoop on Cloud Dataproc, Cloud Storage instead of HDFS, optimizing Dataproc

Apache Spark Training Fees and Learning Formats

All formats include the same curriculum and projects.

Swipe sideways to compare all three formats →

	Self Paced	Most Popular Live Online	Classroom
Recorded Content	✓	✓	✓
Live Classes	Not included	✓	✓
Trainer Support	Limited	✓	✓
Projects	✓	✓	✓
Career Support	[Specify]	✓	✓
Access	Lifetime	[Duration]	[Duration]
Price	₹5,000 or ₹[X,XXX] per month EMI	₹[XX,XXX] or ₹[X,XXX] per month EMI	₹[XX,XXX] or ₹[X,XXX] per month EMI

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1

Submit enquiry

2

Advisor calls you

3

Discuss background & goals

4

Choose suitable batch

5

Complete enrollment

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Start learning

Frequently Asked Questions

Who can join this Apache Spark and Scala course?

Software engineers, data engineers, ETL developers, data scientists, analytics professionals and graduates who want a career in big data can join. The course teaches Scala from the basics, so you do not need earlier Scala experience. If you are unsure about your background, speak with the learning team before you enrol.

What is the Apache Spark training duration?

The course runs for [Confirm duration].

What is the Apache Spark and Scala course fee?

The self paced course costs ₹5,000. The live online fee is [Confirm online fee] and the classroom fee is the online fee plus ₹500. Contact the learning team for EMI details.

Do I need to know Hadoop for Hadoop Spark Scala work?

No. The first module explains Hadoop and the limits of MapReduce before it introduces Spark. You learn how Spark and Hadoop work together, including Spark on YARN.

Why learn Spark with Scala and not Python?

Both use the same Spark engine. Spark is written in Scala, so Scala gives direct access to the Spark API. If you prefer Python, see our PySpark course.

Does the course cover Spark SQL, Spark Streaming and Kafka?

Yes. Module 6 covers the SQL context, DataFrames, text, JSON and Parquet files, user defined functions and Hive with a local metastore. Module 7 covers discretized streams, processing log files in real time, and integration with Flume and Kafka.

Does the course cover machine learning with MLlib?

No. This course covers Spark Core, Spark SQL and Spark Streaming. For machine learning, see our Data Science course.

Is this an Apache Spark and Scala certification course?

You receive a Prwatech certificate of completion, and it is included in the course. It is a course certificate and not a vendor or exam certification. Preparation for a Spark certification exam, and exam fees, are not part of this course.

Do you provide job assistance?

Learners who pass the screening test receive interview calls. We also help with your CV and with interview preparation. We do not guarantee a job offer.

What if I miss a live class?

Every class is recorded and uploaded to your LMS. Earlier class recordings and presentations are also available to you.

Start Learning Apache Spark

Get the complete curriculum and speak with a learning advisor about the right learning format for you.

Download Curriculum Book a Free Demo Class

Apache Spark Scala online course

Apache Spark and Scala Online Course with Certification

Who Should Take This Apache Spark and Scala Course?

Software Engineers

Data Engineers and ETL Developers

Data Scientists and Analytics Professionals

Graduates

Learn Apache Spark with Scala: What You Will Learn

Hands On Spark and Scala Practicals

Scala and Spark Setup

RDD Practicals

Streaming Practicals

Spark and Scala Career Roles After This Course

How Prwatech supports your job search

CV Help

Interview Preparation

Real Time Project

Screening Test

Job Assistance

Why Learn Apache Spark with Prwatech

Apache Spark Trainers

[Trainer Name]

[Trainer Name]

Student Reviews

Apache Spark and Scala Course Syllabus

Apache Spark Training Fees and Learning Formats

What happens after you enquire?

Frequently Asked Questions

Start Learning Apache Spark

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