Apache Spark Course in Chennai

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Infibee Technologies provides the India’s No.1 Apache Spark Training in Chennai with global certification and guaranteed placement.

KickStart your career with the Apache Spark Course in Chennai, Infibee Technologies will help you realize your dream. Get trained by 10+ years of industry experienced experts, live sessions, hands-on projects, and practical exercises. In addition, the professional course provides all the necessary tools for resume making, interview coaching, placement assistance, and unlimited access to the recorded classes—all at very reasonable prices. Become a master of big data by acquiring the skills of data processing, analyzing, and streaming in real-time.

Join us at the Apache Spark Training Institute in Chennai to skyrocket your career into top-paying jobs in premier companies!

Other related Apache Spark Training offered include:

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Adobe Analytics Course in Chennai Overview

Boost your career with the Apache Spark Course in Chennai at Infibee Technologies, tailored for future data engineers, analysts, and big data experts. Apache Spark is the robust open-source distributed computing system for handling huge amounts of data and performing various types of data processing, analytics, and even machine learning. The learners are equipped with the abilities through this training to implement data pipelines in the companies, hence making them ready for high-demand roles in the industry.

The syllabus comprises an in-depth study of Spark architecture, RDDs, DataFrames, Spark SQL, Streaming, MLlib, and GraphX. The use of live sessions, mock projects, and expert guidance is a perfect mix that makes it possible for participants to gain knowledge in theory as well as become good in practice.The variety of learning methods together with placement assistance make it certain that every student is both job-ready and self-assured to face Spark-related positions.

Apache Spark Course in Chennai Topics Covered Applications of Apache Spark Training in Chennai Tools Used in Apache Spark Training
Spark Architecture & Setup Big data processing & analytics Apache Spark
RDDs, DataFrames & Datasets Real-time data streaming Hadoop Ecosystem (HDFS, Hive, YARN)
Spark SQL & DataFrame Operations Machine learning & predictive analytics Kafka, Sqoop
Spark Streaming & Structured Streaming ETL/ELT automation MLlib, GraphX
Spark MLlib & GraphX Cloud data integration (AWS, Azure) Cloud Platforms (AWS, Azure, GCP)
Spark Performance Tuning & Deployment Enterprise-level big data pipelines Zeppelin, Jupyter, IntelliJ IDEA

Why Choose Infibee Technologies for Apache Spark Course in Chennai & Key Highlights

  • Industry-experienced trainers with 10+ years of cumulative expertise

  • Hands-on live projects and real-world use-case training

  • Flexible batch timings: weekdays and weekends

  • Resume building, interview preparation & placement guidance

  • Lifetime access to recorded sessions

  • Affordable fees with industry-oriented curriculum

  • Classroom, online, and corporate training modes

  • Globally recognized certification upon completion

Best Apache Spark Institute in Chennai – Get Certified with Infibee Technologies

Located in the heart of the Chennai, Infibee Technologies, the foremost Apache Spark Training Institute in Chennai. A modern learning environment is provided by us with fully-equipped labs, live instructor-led classes, and hands-on project work based on industry requirements. We cover a wide range of subjects in our curriculum including Spark architecture, RDDs, DataFrames, Spark SQL, MLlib, Spark Streaming, performance tuning, and finally deployment and monitoring of Spark applications in production.

We give priority to practical training together with theoretical understanding to make sure that the learners are capable of dealing with real-time big data challenges. The flexibility of learning options, recorded sessions, and dedicated placement support enable students to easily balance their learning with professional aspirations.

Certification

The moment the students finish the Apache Spark Course in Chennai they are awarded a worldwide acknowledged certificate by Infibee Technologies which confirms their capabilities in processing big data and graduating with Spark-based solutions. This certificate will be a great help in your resume enhancement, will make you visible in the competitive job markets and will increase your career prospects.

Our alumni have secured positions in top MNC companies such as TCS, Infosys, Wipro, Cognizant, and HCL Technologies.

Modes of Apache Spark Course in Chennai at Infibee Technologies:

  • Classroom Training

  • Self – Paced Training
  • Online Live Classes

  • Corporate Training

Global Certifications for Apache Spark Training in Chennai

S.No Certification Code Cost (INR) Certification Expiry
1 DATASCI-SPARK-101 25,000 3 Years
2 AP-SPARK-ENG-201 40,000 5 Years
3 BIGDATA-SPARK-301 50,000 Lifetime

Benefits of Learning the Apache Spark Course in Chennai

  • Gain in-demand big data and analytics skills

  • Hands-on experience with real-time streaming and machine learning

  • Build enterprise-level data pipelines

  • Improve career prospects with top MNC placements

  • Access lifetime recorded sessions for continual learning

  • Flexible training options to fit your schedule

  • Resume and interview preparation support

  • Industry-recognized certification

What You’ll Learn

  • Spark architecture, setup, and cluster management

  • RDDs, DataFrames, and Datasets operations

  • Spark SQL, Spark Streaming, and structured streaming

  • Machine learning with MLlib and GraphX

  • Integration with Hadoop, Kafka, and cloud platforms

  • Performance tuning and production deployment

  • End-to-end enterprise data flow implementation

Who Can Join?

  • Freshers and graduates aspiring to become data engineers

  • IT professionals seeking big data expertise

  • Data analysts wanting to learn Spark for analytics

  • Software developers looking to expand into big data technologies

  • Professionals aiming for career growth in data engineering & analytics

Career Opportunities in Apache Spark Training in Chennai

Experience Level Job Roles Salary (LPA)
Freshers (0–3 yrs) Spark Developer Trainee 3–4.5
Junior Data Engineer 4–5.5
Big Data Analyst 4–5
Mid-Level (4–8 yrs) Spark Data Engineer 5–8
Senior Data Analyst 8–12
Big Data Specialist 8–12
Senior (9+ yrs) Principal Spark Engineer 12–18
Big Data Architect 15–20
Spark Consultant 18–25
Specialized Roles Spark ML Specialist 10–15
Spark Streaming Expert 10–15

Who’s Hiring Apache Spark Course in Chennai Professionals

  • TCS

  • Infosys

  • Wipro

  • Cognizant

  • HCL

Can I Study the Apache Spark Course in Other Locations?

Apache Spark Training is offered to other cities as well as Apache Spark Training in Bangalore, Apache Spark Training in Hyderabad, Apache Spark Training in Delhi, and Apache Spark Training in Pune. While Infibee Technologies is providing hands-on training, experienced mentors, and placement support, which goes hand in hand with what candidates look for specifically in Chennai, that is what makes us the number one choice.

How to Register for Apache Spark Classes in Chennai at Infibee Technologies

Step 1: Register for a Free Demo

  • Visit our website and submit the inquiry form

  • Attend a free demo session to learn about our teaching methodology

Step 2: Select Your Training Mode

  • Choose between classroom, online, or corporate training

  • Confirm your preferred batch timing

Step 3: Start Your Apache Spark Course in Chennai Journey

  • Begin learning with expert instructors

  • Work on real projects and prepare for Apache Spark Classes in Chennai certification

Enroll Today: Unlock Your Apache Spark Training in Chennai Potential!

Be a part of Infibee Technologies, the foremost Apache Spark Training Institute in Chennai, and embark on your journey to a successful career in big data analytics, data engineering, and real-time streaming. Just book your seat and prepare for the high-paying positions with the best companies!

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Why People Choose Infibee ?

Upcoming Apache Spark  Batches In Chennai

24-11-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
19-11-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
21-11-2025
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Apache Spark  Course Syllabus in Chennai

Join our Apache Spark Training in Chennai! Our syllabus covers essential Apache Spark methodologies, automation tools, and advanced techniques. Our practical projects are led by industry experts, empowering you to analyse data processing effectively in this growing tech hub. Perfect for freshers and experienced professionals aiming to enhance their expertise in Apache Spark.

  • Introduction to Spark
  • Spark overcomes the drawbacks of working on MapReduce
  • Understanding in-memory MapReduce
  • Interactive operations on MapReduce
  • Spark stack, fine vs. coarse-grained update, Spark Hadoop YARN, HDFS Revision, and YARN Revision
  • The overview of Spark and how it is better than Hadoop
  • Deploying Spark without Hadoop
  • Spark history server and Cloudera distribution
  • Spark installation guide
  • Spark configuration
  • Memory management
  • Executor memory vs. driver memory
  • Working with Spark Shell
  • The concept of resilient distributed datasets (RDD)
  • Learning to do functional programming in Spark
  • The architecture of Spark
  • Spark RDD
  • Creating RDDs
  • RDD partitioning
  • Operations and transformation in RDD
  • Deep dive into Spark RDDs
  • The RDD general operations
  • Read-only partitioned collection of records
  • Using the concept of RDD for faster and efficient data processing
  • RDD action for the collect, count, collects map, save-as-text-files, and pair RDD functions
  • Understanding the concept of key-value pair in RDDs
  • Learning how Spark makes MapReduce operations faster
  • Various operations of RDD
  • MapReduce interactive operations
  • Fine and coarse-grained update
  • Spark stack
  • Comparing the Spark applications with Spark Shell
  • Creating a Spark application using Scala or Java
  • Deploying a Spark application
  • Scala built application
  • Creation of the mutable list, set and set operations, list, tuple, and concatenating list
  • Creating an application using SBT
  • Deploying an application using Maven
  • The web user interface of Spark application
  • A real-world example of Spark
  • Configuring of Spark
  • Learning about Spark parallel processing
  • Deploying on a cluster
  • Introduction to Spark partitions
  • File-based partitioning of RDDs
  • Understanding of HDFS and data locality
  • Mastering the technique of parallel operations
  • Comparing repartition and coalesce
  • RDD actions
  • The execution flow in Spark
  • Understanding the RDD persistence overview
  • Spark execution flow, and Spark terminology
  • Distribution shared memory vs RDD
  • RDD limitations
  • Spark shell arguments
  • Distributed persistence
  • RDD lineage
  • Key-value pair for sorting implicit conversions like CountByKey, ReduceByKey, SortByKey, and AggregateByKey
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Introduction to MLlib
  • Various ML algorithms supported by MLlib
  • Linear regression, logistic regression, decision tree, random forest, and K-means clustering techniques
  • Why Kafka and what is Kafka?
  • Kafka architecture
  • Kafka workflow
  • Configuring Kafka cluster
  • Operations
  • Kafka monitoring tools
  • Integrating Apache Flume and Apache Kafka
  • Introduction to Spark Streaming
  • Features of Spark Streaming
  • Spark Streaming workflow
  • Initializing StreamingContext, discretized Streams (DStreams), input DStreams and Receivers
  • Transformations on DStreams, output operations on DStreams, windowed operators and why it is useful
  • Important windowed operators and stateful operators
  • Introduction to various variables in Spark like shared variables and broadcast variables
  • Learning about accumulators
  • The common performance issues
  • Troubleshooting the performance problems
  • Learning about Spark SQL
  • The context of SQL in Spark for providing structured data processing
  • JSON support in Spark SQL
  • Working with XML data
  • Parquet files
  • Creating Hive context
  • Writing data frame to Hive
  • Reading JDBC files
  • Understanding the data frames in Spark
  • Creating Data Frames
  • Manual inferring of schema
  • Working with CSV files
  • Reading JDBC tables
  • Data frame to JDBC
  • User-defined functions in Spark SQL
  • Shared variables and accumulators
  • Learning to query and transform data in data frames
  • Data frame provides the benefit of both Spark RDD and Spark SQL
  • Deploying Hive on Spark as the execution engine
  • Learning about the scheduling and partitioning in Spark
  • Hash partition
  • Range partition
  • Scheduling within and around applications
  • Static partitioning, dynamic sharing, and fair scheduling
  • Map partition with index, the Zip, and GroupByKey
  • Spark master high availability, standby masters with ZooKeeper
  • Single-node recovery with the local file system and high order functions
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Apache Spark Projects

Enroll in our Adobe Analytics Classes in Chennai, where our course focuses on providing high-quality training with a strong foundation in core analytics concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practices.

Real-Time Data Processing System

Develop a system to process and analyze data in real-time. Use Spark Streaming for continuous data input. Implement real-time dashboards and alerts.

Log Analysis Tool

Create a tool to analyze server logs for insights.  Use Spark to handle large volumes of log data.  Generate reports on server performance and errors.

Recommendation Engine

Build a recommendation system for products or content. Use Spark's MLlib for machine learning algorithms. Analyze user behavior and preferences.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
Our Instructor
Name
Mr. Harish
Experience
9+ Years
Specialized in
Spark Basics, RDDs, Spark Applications, Apache Kafka, & SQL and Data Frames
More Details
Krishit is one of Infibee's top-certified trainers in big data processing, boasting over 6 years of hands-on experience collaborating with industry professionals. He holds certifications in Apache Spark, Hadoop, Kafka, and Scala, ensuring expertise in cutting-edge big data technologies.

Apache Spark Course Training Objectives

Our Best Apache Spark Training in Chennai aims to empower participants with complete skills and practical knowledge in big data processing. The objectives include mastering core concepts of Apache Spark, applying skills through real-world projects, fostering critical thinking, and preparing for professional challenges

The average salary for an Apache Spark professional in India varies based on experience, location, and company size. Entry-level positions may start around ₹6-8 lakhs per annum, while experienced professionals with 5-10 years of experience can earn between ₹15-25 lakhs per annum. Senior roles and specialists can earn upwards of ₹30 lakhs per annum

There are several certifications available for Apache Spark, including:

  • Databricks Certified Associate Developer for Apache Spark
  • Cloudera Certified Associate (CCA) Spark and Hadoop Developer
  • Hortonworks Apache Spark Certifications

These certifications can be highly beneficial for career growth as they validate your skills and knowledge, making you more attractive to potential employers.

A comprehensive Apache Spark course typically covers:

  • Introduction to Big Data and Apache Spark
  • Spark Core Concepts
  • Spark SQL
  • Spark Streaming
  • Machine Learning with Spark MLlib
  • Graph Processing with GraphX
  • Spark RDDs and DataFrames
  • Deploying Spark on Clusters (YARN, Mesos, Kubernetes)
  • Optimizing Spark Applications
  • Real-world projects and case studies

Prerequisites for learning Apache Spark include:

  • Basic knowledge of programming languages like Java, Scala, or Python
  • Understanding of big data concepts and Hadoop
  • Familiarity with SQL and databases
  • Knowledge of Linux/Unix command line can be helpful

Career opportunities for professionals skilled in Apache Spark are diverse and include roles such as:

  • Big Data Engineer
  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Big Data Architect
  • Spark Developer
  • ETL Developer

These roles are in demand across various industries, including finance, healthcare, retail, technology, and more.

Benefits of using Apache Spark in big data processing include:

  • High-speed data processing capabilities
  • Support for multiple languages (Java, Scala, Python, R)
  • In-memory computing that boosts performance
  • Seamless integration with Hadoop and other big data tools
  • Advanced analytics capabilities with Spark MLlib for machine learning
  • Real-time data stream processing with Spark Streaming
  • Flexibility to run on various cluster managers (YARN, Mesos, Kubernetes) and cloud services

These advantages make Apache Spark a powerful tool for big data analytics and processing.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Apache Spark Career Opportunity

Apache Spark is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the Apache Spark certification can earn an average of 7 LPA per year.

Annual Pay Scale
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
Muthu krishnan
I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
Madhaiyan Madhan

Apache Spark Training FAQ's

Infibee Apache Spark Training In Chennai offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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