Apache Spark Training in Pune

5/5

Infibee Technologies provides India’s leading Apache Spark Training in Pune, offering globally recognized certification and 100% placement support.

KickStart your career in Apache Spark Course in Pune with guidance from 15+ years of industry-experienced experts, hands-on mock projects, resume building, interview preparation, and comprehensive placement training. The lifetime access to recorded sessions of live classes is also part of our course, so you can go back and forth through concepts at any time. Acquire the hands-on capabilities of big data handling, live analytics, and distributed computing with Apache Spark, plus there will be a wide range of its applications in data engineering, ML, and enterprise solutions to be done throughout the course.

Join our Apache Spark Training Institute in Pune and ignite your Apache Spark IT career future with high-paying jobs in top companies.

Other related Apache Spark Training offered include:

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Apache Spark Course in Pune Overview

Begin your IT career with Apache Spark, the most popular open-source big data processing framework. Nowadays, almost all major enterprises use Spark for real-time analytics and distributed computing. Infibee Technologies offers the premier Apache Spark Course in Pune that is inclusive of practical training, world-wide certification, and total placement assistance. In addition to taking the classes of the industry veterans, you will be doing projects and learning the practical skills that will make you ready for the job market.

About Apache Spark

Apache Spark is a large-scale data processing system that is open-source and thus, can be used as a free software. It is the fastest of all the processing systems which in turn pushes the processing of big data almost in real time. Memory computing is one of the main features of Spark which indeed speeds up the whole process of real-time analytics. It provides the developer with a choice of different programming languages, namely Scala, Java, Python, and R. Spark also works really well with other tools like Hadoop, Kafka, Hive, etc. The also include Spark SQL, Spark Streaming, MLlib for machine learning, and GraphX for graph processing. Spark’s powerful APIs help in simplifying difficult computations that often require processing of huge datasets. Therefore, Learning Spark is equivalent to gaining all necessary skills for data engineering, analytics, and real-time processing roles.

Mulesoft Course Topics Covered Applications of Apache Spark Admin Course Tools Used
Spark Architecture & Core Concepts Real-time Data Processing Apache Spark
RDDs, DataFrames, & Datasets Big Data Analytics Hadoop
Spark SQL & Structured Streaming ETL & Data Integration Kafka
Spark Streaming Machine Learning & Predictive Analytics MLlib
Spark MLlib & GraphX Data Pipeline Automation Spark SQL
Spark Performance Tuning Fault-Tolerant Data Workflows Scala/Python
Cluster Management & Spark UI Batch & Stream Processing IntelliJ/Eclipse
Spark Jobs & Deployment Real-time Analytics Dashboards Tableau/PowerBI
Spark Security & Permissions Workflow Optimization Docker/Kubernetes
Spark Ecosystem Overview Enterprise Data Applications Git/GitHub

Why Choose Infibee Technologies for Apache Spark Course in Pune?

  • Industry Experts

  • Hands-on Projects

  • Placement Support

  • Lifetime Access

  • Affordable Fees

  • Global Certification

Best Apache Spark Course Institute in Pune – Get Certified with Infibee Technologies

Located in Pune, Infibee Technologies is the leading Apache Spark Course Institute in Pune. Eventually, we have enlightened 100 of professionals and turned them into the ones who get paid the most in the best IT companies. Our course is designed in such a way that it combines both, theory and practice, and the suchlike areas as Spark core, SQL, streaming, machine learning, and graph processing are all part of it. Our students learn by doing and the teaching methods are guided towards projects; using real-time datasets and integrating with big data tools. The main aim of Infibee is to provide training related to placements, thus the institute gives support with resumes, conducts mock interviews, and provides career counseling. By the end of the course, students have already developed the skills and the mindset to take on Spark developer, data engineer, and analytics roles without any doubt.

Certification

The participants get an internationally recognized certification of Apache Spark, which shows their professional competence in the areas of distributed data processing, analysis, and workflow automation. Having this certification not only increases the value of resumes but also paves the way to the best job offers in MNCs.

Alumni Hiring

  • TCS

  • Infosys

  • Wipro

  • Capgemini

  • Cognizant

Modes of Apache Spark Training at Infibee Technologies

  • Classroom Training

  • Online Instructor-Led Training

  • Corporate Training

  • Self-Paced Training

Global Certifications Available for Apache Spark

S.No Certification Code Cost (INR) Expiry
1 Apache Spark Developer 30,000 3 years
2 Apache Spark Administrator 35,000 3 years
3 Confluent Spark Data Engineer 40,000 2 years
4 Spark MLlib Specialist 25,000 2 years
5 Spark Streaming Expert 30,000 3 years

Benefits of Learning Apache Spark Course in Pune

  • Master big data processing and real-time analytics.

  • Gain hands-on experience with enterprise-scale Spark projects.

  • Earn global certification recognized by top companies.

  • Access placement assistance and career guidance.

  • Learn from experienced industry trainers.

  • Work on live datasets for portfolio-ready experience.

  • Integrate Spark with Kafka, Hadoop, and other big data tools.

What You’ll Learn

  • Apache Spark Architecture, RDDs, DataFrames, and Datasets.

  • Spark SQL, Structured Streaming, and Spark Core APIs.

  • Spark MLlib for machine learning and GraphX for graph analytics.

  • Cluster management, job scheduling, and performance tuning.

  • Security, workflow automation, and enterprise data processing.

Who Can Join?

  • Freshers aiming for a career in data engineering or analytics.

  • Software testers, QA engineers, and automation professionals.

  • Data engineers, developers, and analytics professionals.

  • Professionals seeking Spark certification and career advancement.

Career Opportunities in Apache Spark

Experience Level Job Role Salary (LPA)
Freshers/Junior (0–3 yrs) Apache Spark Test Engineer Trainee 3–4.5
Junior Apache Spark QA Engineer 4–5.5
Apache Spark Automation Tester 4–5
Mid-Level (4–8 yrs) Apache Spark Test Engineer 5–8
Senior Apache Spark QA Engineer 8–12
Apache Spark Test Automation Specialist 8–12
Apache Spark Testing Lead 8–12
Senior/Experienced (9+ yrs) Principal Apache Spark Test Engineer 12–18
Head of Apache Spark Testing 15–20
Apache Spark Testing Consultant 18–25
Specialized Roles Apache Spark Security Tester 10–15
Apache Spark Testing Specialist 10–15
Apache Spark Testing Expert 15–20

Who’s Hiring Apache Spark Professionals

  • TCS

  • Infosys

  • Wipro

  • Capgemini

  • Cognizant

Can I Study Apache Spark Course in Other Locations?

Apache Spark Course is offered to other cities as well as Apache Spark Course in Delhi, Apache Spark Course in Hyderabad, Apache Spark Course in Chennai, and Apache Spark Course in Bangalore. 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 Pune, that is what makes us the number one choice.

How to Register for Apache Spark at Infibee Technologies

Step 1: Register for a Free Demo

  • Submit the inquiry form on our website.

  • Participate in a free demo session to understand the training methodology.

Step 2: Select Your Training Mode

  • Choose classroom, online, corporate, or self-paced training.

  • Confirm batch timing and convenience.

Step 3: Start Your Apache Spark Journey

  • Learn from expert instructors.

  • Work on live projects and prepare for Apache Spark certification.

Enroll Today: Unlock Your Apache Spark Potential!

Join Infibee Technologies, the top Apache Spark Course Institute in Pune, and take the first step toward a high-paying IT career with hands-on experience, global certification, and real-world projects.

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Why People Choose Infibee ?

Upcoming Apache Spark Batches In Pune

09-03-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
11-03-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
13-03-2026
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

Join our Apache Spark Training in Pune! 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 Pune, 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 Pune 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 Pune 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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