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Apache Spark and Scala Certification Training in Delhi

4.8 556 Ratings 7,152 Learners

The Spark training in Delhi at Intellipaat is an instructor-led program curated by industry professionals from top organizations to make you a certified professional. They will help you learn Spark RDDs, Scala–Java, Flume, and other significant modules of Spark and Scala. Our 24-hour online support will clear all your queries and assist you in building a successful career. Get the best Spark and Scala course in Delhi by the top Apache Spark Experts.

Free Python course

Key Features

24 Hrs Instructor-led Training
22 Hrs Self-paced Videos
60 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Career Transitions

Jeanette Masso
Jeanette Masso
Computer Technical Specialist intellipaat-image
Big Data Developer intellipaat-image
Nishchay Agrawal
Nishchay Agrawal
Fresher
Data Engineer intellipaat-image
Yogesh Kumar
Yogesh Kumar
Associate Consultant intellipaat-image
Senior Software Engineer intellipaat-image
Sahas Barangale
Sahas Barangale
Microsoft Dynamics Consultant intellipaat-image
Program Manager intellipaat-image
Kalyani Umare
Kalyani Umare
Consultant intellipaat-image
ETL Developer intellipaat-image
Ziyauddin Mulla
Ziyauddin Mulla
Support Executive intellipaat-image
Splunk Administrator intellipaat-image

Course Benefits

4.8/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $ 17544
Software Developer
Senior Software Engineer
Senior Data Engineer
$ 13421 Starting
$ 17544 Median
$ 35088 Experienced
Companies Hiring Apache Spark and Scala Professionals
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intellipaat-image intellipaat-image
And 1,000+ Global Companies

Spark and Scala Course in Delhi Overview

Once you complete this comprehensive Apache Spark training in Delhi, you will acquire all the skills and knowledge in Spark and Scala, including an understanding of Scala collections, Spark Shell, Hive, and more.

What will you learn at Intellipaat from its Apache Spark and Scala training in Delhi?

In Intellipaat’s Apache Spark course, you will learn about:

  • Scala operations
  • Spark Streaming
  • Hadoop vs Spark
  • Spark techniques and algorithms
  • RDDs
  • Scala programming
  • Spark applications with Scala, Java, and Python
  • Scala–Java

Mentioned below are a few reasons why you must enroll in our Apache Spark training in Delhi:

  • There are 300+ vacancies for professionals with Spark skills in the NCR region – Indeed
  • Hadoop and Spark Developers earn an average salary of ₹799k/year in India – Glassdoor
  • Spark is one of the most adopted technologies in the world – Forbes

The cost of the Apache Spark certification exam in Delhi is ₹20,650, while the duration of the CCA Spark and Hadoop Developer Exam (CCA175) is about 120 minutes.

The professionals listed below can enroll in this Apache Spark Training:

  • Software Engineers
  • ETL experts
  • Analytics professionals
  • Data Engineers
  • Data Scientists
  • Graduates
  • Professionals looking for a career transition

You do not need to have any particular skills to register for Intellipaat’s Spark and Scala certification course in Delhi. Although, it won’t hurt to have some basic knowledge of SQL or any other database query language.

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Spark and Kafka are powering today's modern data apps. - Forbes
Spark can be 100x faster than Hadoop for large scale data processing. - Databricks

Skills Covered

  • Hadoop
  • Scala
  • Python
  • Java
  • MLlib
  • K-means clustering
  • Kafka
  • Flume
  • Hive
  • Spark SQL
  • Maven
  • Scala–Java
  • Cloudera
  • ZooKeeper
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Fees

Self Paced Training

  • 22 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$165

Online Classroom preferred

  • Everything in self-paced, plus
  • 24 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 23 Jan
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 26 Jan
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 31 Jan
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$264 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Spark and Scala Course Content

Scala Course Content

Module 01 - Introduction to Scala Preview

1.1 Introducing Scala
1.2 Deployment of Scala for Big Data applications and Apache Spark analytics
1.3 Scala REPL, lazy values, and control structures in Scala
1.4 Directed Acyclic Graph (DAG)
1.5 First Spark application using SBT/Eclipse
1.6 Spark Web UI
1.7 Spark in the Hadoop ecosystem.

Module 02 - Pattern Matching

2.1 The importance of Scala
2.2 The concept of REPL (Read Evaluate Print Loop)
2.3 Deep dive into Scala pattern matching
2.4 Type interface, higher-order function, currying, traits, application space and Scala for data analysis

3.1 Learning about the Scala Interpreter
3.2 Static object timer in Scala and testing string equality in Scala
3.3 Implicit classes in Scala
3.4 The concept of currying in Scala
3.5 Various classes in Scala

4.1 Learning about the Classes concept
4.2 Understanding the constructor overloading
4.3 Various abstract classes
4.4 The hierarchy types in Scala
4.5 The concept of object equality
4.6 The val and var methods in Scala

5.1 Understanding sealed traits, wild, constructor, tuple, variable pattern, and constant pattern

6.1 Understanding traits in Scala
6.2 The advantages of traits
6.3 Linearization of traits
6.4 The Java equivalent
6.5 Avoiding of boilerplate code

7.1 Implementation of traits in Scala and Java
7.2 Handling of multiple traits extending

8.1 Introduction to Scala collections
8.2 Classification of collections
8.3 The difference between iterator and iterable in Scala
8.4 Example of list sequence in Scala

9.1 The two types of collections in Scala
9.2 Mutable and immutable collections
9.3 Understanding lists and arrays in Scala
9.4 The list buffer and array buffer
9.6 Queue in Scala
9.7 Double-ended queue Deque, Stacks, Sets, Maps, and Tuples in Scala

10.1 Introduction to Scala packages and imports
10.2 The selective imports
10.3 The Scala test classes
10.4 Introduction to JUnit test class
10.5 JUnit interface via JUnit 3 suite for Scala test
10.6 Packaging of Scala applications in the directory structure
10.7 Examples of Spark Split and Spark Scala

Spark Course Content

11.1 Introduction to Spark
11.2 Spark overcomes the drawbacks of working on MapReduce
11.3 Understanding in-memory MapReduce
11.4 Interactive operations on MapReduce
11.5 Spark stack, fine vs. coarse-grained update, Spark stack, Spark Hadoop YARN, HDFS Revision, and YARN Revision
11.6 The overview of Spark and how it is better than Hadoop
11.7 Deploying Spark without Hadoop
11.8 Spark history server and Cloudera distribution

12.1 Spark installation guide
12.2 Spark configuration
12.3 Memory management
12.4 Executor memory vs. driver memory
12.5 Working with Spark Shell
12.6 The concept of resilient distributed datasets (RDD)
12.7 Learning to do functional programming in Spark
12.8 The architecture of Spark

13.1 Spark RDD
13.2 Creating RDDs
13.3 RDD partitioning
13.4 Operations and transformation in RDD
13.5 Deep dive into Spark RDDs
13.6 The RDD general operations
13.7 Read-only partitioned collection of records
13.8 Using the concept of RDD for faster and efficient data processing
13.9 RDD action for the collect, count, collects map, save-as-text-files, and pair RDD functions

14.1 Understanding the concept of key-value pair in RDDs
14.2 Learning how Spark makes MapReduce operations faster
14.3 Various operations of RDD
14.4 MapReduce interactive operations
14.5 Fine and coarse-grained update
14.6 Spark stack

15.1 Comparing the Spark applications with Spark Shell
15.2 Creating a Spark application using Scala or Java
15.3 Deploying a Spark application
15.4 Scala built application
15.5 Creation of the mutable list, set and set operations, list, tuple, and concatenating list
15.6 Creating an application using SBT
15.7 Deploying an application using Maven
15.8 The web user interface of Spark application
15.9 A real-world example of Spark
15.10 Configuring of Spark

16.1 Learning about Spark parallel processing
16.2 Deploying on a cluster
16.3 Introduction to Spark partitions
16.4 File-based partitioning of RDDs
16.5 Understanding of HDFS and data locality
16.6 Mastering the technique of parallel operations
16.7 Comparing repartition and coalesce
16.8 RDD actions

17.1 The execution flow in Spark
17.2 Understanding the RDD persistence overview
17.3 Spark execution flow, and Spark terminology
17.4 Distribution shared memory vs. RDD
17.5 RDD limitations
17.6 Spark shell arguments
17.7 Distributed persistence
17.8 RDD lineage
17.9 Key-value pair for sorting implicit conversions like CountByKey, ReduceByKey, SortByKey, and AggregateByKey

18.1 Introduction to Machine Learning
18.2 Types of Machine Learning
18.3 Introduction to MLlib
18.4 Various ML algorithms supported by MLlib
18.5 Linear regression, logistic regression, decision tree, random forest, and K-means clustering techniques

Hands-on Exercise: 
1. Building a Recommendation Engine

19.1 Why Kafka and what is Kafka?
19.2 Kafka architecture
19.3 Kafka workflow
19.4 Configuring Kafka cluster
19.5 Operations
19.6 Kafka monitoring tools
19.7 Integrating Apache Flume and Apache Kafka

Hands-on Exercise: 
1. Configuring Single Node Single Broker Cluster
2. Configuring Single Node Multi Broker Cluster
3. Producing and consuming messages
4. Integrating Apache Flume and Apache Kafka

20.1 Introduction to Spark Streaming
20.2 Features of Spark Streaming
20.3 Spark Streaming workflow
20.4 Initializing StreamingContext, discretized Streams (DStreams), input DStreams and Receivers
20.5 Transformations on DStreams, output operations on DStreams, windowed operators and why it is useful
20.6 Important windowed operators and stateful operators

Hands-on Exercise: 
1. Twitter Sentiment analysis
2. Streaming using Netcat server
3. Kafka–Spark streaming
4. Spark–Flume streaming

21.1 Introduction to various variables in Spark like shared variables and broadcast variables
21.2 Learning about accumulators
21.3 The common performance issues
21.4 Troubleshooting the performance problems

22.1 Learning about Spark SQL
22.2 The context of SQL in Spark for providing structured data processing
22.3 JSON support in Spark SQL
22.4 Working with XML data
22.5 Parquet files
22.6 Creating Hive context
22.7 Writing data frame to Hive
22.8 Reading JDBC files
22.9 Understanding the data frames in Spark
22.10 Creating Data Frames
22.11 Manual inferring of schema
22.12 Working with CSV files
22.13 Reading JDBC tables
22.14 Data frame to JDBC
22.15 User-defined functions in Spark SQL
22.16 Shared variables and accumulators
22.17 Learning to query and transform data in data frames
22.18 Data frame provides the benefit of both Spark RDD and Spark SQL
22.19 Deploying Hive on Spark as the execution engine

23.1 Learning about the scheduling and partitioning in Spark
23.2 Hash partition
23.3 Range partition
23.4 Scheduling within and around applications
23.5 Static partitioning, dynamic sharing, and fair scheduling
23.6 Map partition with index, the Zip, and GroupByKey
23.7 Spark master high availability, standby masters with ZooKeeper, single-node recovery with the local file system and high order functions

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24
Hours of Instructor-led Training
22
Hours of Self-paced Videos
7
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

Spark and Scala Projects

Movie Recommendation

Deploy Apache Spark for a movie recommendation system. Through this project, you will be working with Spark MLlib, collaborative filtering, clustering, regression, and dimensionality reduction. By the completion of this project, you will be proficient in working with streaming data, sampling, testing, and statistics.

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Twitter API Integration for Tweet Analysis

integrate Twitter API for analyzing tweets. You can use any of the scripting languages, like PHP, Ruby, or Python, for requesting the Twitter API and get the results in JSON format. You will have to perform aggregation, filtering, and parsing as per the requirement for the tweet analysis.

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Data Exploration Using Spark SQL – Wikipedia Data

This project will allow you to work with Spark SQL and combine it with ETL applications, real-time analysis of data, performing batch analysis, deploying Machine Learning, creating visualizations, and processing of graphs.

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Apache Spark Certification in Delhi

Intellipaat’s Apache Spark and Scala course in Delhi is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam. Join our Hadoop training course for gaining proficiency in the Hadoop component of the CCA175 exam. The entire course is created by industry experts so that the learners can get top jobs in the world’s best organizations. This training comprises several real-world projects and case studies that are highly valued in the industry.

When you complete the Apache Spark and Scala training in Delhi, you will have to attempt the quizzes that will help you prepare for the CCA175 certification exam and will aid you to score top marks.

Intellipaat’s course completion certificate will be awarded once you successfully complete the project work, after it is reviewed by our experts. This certification is recognized by top companies such as TCS, Cisco, Hexaware, Mu Sigma, Cognizant, Sony, Genpact, Ericsson, and many others.

Apache Spark and Scala Certification Training Reviews in Delhi

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Atyant Jain

Senior Solutions Architect at Adidas

Spark training at Intellipaat ticked all the right boxes. The best thing I liked about the Apache Spark certification training was the opportunity to work on real-world projects that helped me get hands-on experience in one of the fastest Big Data processing engines. Thank you Intellipaat.

Anthony Crenshaw

Master Radio Electronic Communication Officer

I am glad that I took the Intellipaat Spark training. The trainers offered quality Spark training with real-world examples, and there was extensive interactivity throughout the training that made the Intellipaat training the best according to me.

Suman Gajavelly

CTO | bitsIO - Splunk Experts

I firmly believe that Intellipaat is the perfect place to embark on a great professional career in the technology space. Their Apache Spark and Scala training course was praiseworthy.

Tareg Alnaeem

Database Administrator at University of Bergen

I have had a great experience with Intellipaat learning about the newest technologies. The Apache Spark and Scala Certification Training has excellent course material, free tutorial content and videos for learners with detailed explanation and easy to understand language

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Abhimanyu Balgopal

Product Engineer (BigData)

This Spark training in Delhi delivered everything. This online training course from Intellipaat was exactly what I wanted to understand about Apache Spark and Scala so that I could appear for the Spark certification exam and clear it with ease.

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Monika Kadel

Big data Developer at Amdocs

You have been extremely helpful for making me understand all demanding big data technologies at one place.

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Ashwin Singhania

Hadoop Architect at Infosys

All videos are in-depth yet concise. I had no problem understanding the tough concepts. Wonderful job Intellipaat!

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Debdut Bose

Big Data Expert

A properly structured training that is simple to learn. Quality content

Nidhi Gupta

Java Developer at Acer

The quality of Intellipaat’s Apache Spark and Scala course in Delhi is just awesome. I am very happy to choose the right course for my career. Overall, a great set of tutorials! Thanks!

FAQ’s on Apache Spark Online Training

Why learn Apache Spark Training in Delhi from Intellipaat?

Intellipaat tops the list of institutes when it comes to delivering quality Hadoop training in Delhi. Enrolling at Intellipaat is the best choice you can make if you wish to learn Spark and Scala and apply for the best jobs with high salaries. This online course includes real-time exercises, assignments, and case studies compiled together by industry experts. Besides, the course is aligned with the syllabus of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.

Also, Intellipaat provides lifelong access to courseware, lectures, online support, and more for free. In this Spark and Scala training in Delhi, you will have access to Intellipaat’s Proprietary Virtual Machine throughout your lifetime and will get free access to the cloud for 6 months.

Intellipaat has been serving Spark enthusiasts from every corner of the city. You can be living in any locality in Delhi, be it Delhi NCR, New Delhi, Saket, or other South Delhi localities, Karol bagh, Janakpuri, Vasant Kunj, Uttam Nagar, Dwarka, Laxmi Nagar, Preet Vihar, Mahipalpur, Pitampura, Shastri Nagar, Paschim Vihar, or anywhere. You can have full access to our Apache Spark online training sitting at home or office 24/7.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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