Apache Spark Course in Bangalore

5/5

Infibee Technologies offers India’s No.1 Apache Spark Course in Bangalore with global certification and 100% placement assistance.

Kickstart your career in Apache Spark Training in Bangalore with guidance from 15+ years of industry-experienced experts, accessible fees, and practical mock projects. This Course also contains preparation for your resume, interview mentoring, placement assistance, and lifetime access to recorded sessions of your live classes. Our Apache Spark Course in Bangalore, offered by Infibee Technologies, focuses on teaching learners the essentials of big data processing, real-time analytics, and machine learning for the future. Learners will gain an in-depth understanding of distributed data processing, Spark Core, Streaming, SQL, and advanced MLlib and GraphX frameworks.

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

Other related Apache Spark Training offered include:

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Adobe Analytics Course in Bangalore Overview

Begin your career in Apache Spark Course in Bangalore at Infibee Technologies, the highest rated Institute in Bangalore, with world recognized certification and 100% placement support. Our Bolt offers learners the ability to efficiently analyze large amounts of data using distributed computing, Apache Spark’s core framework. Thanks to sessions offered by specialists, practical tasks, and varied learning opportunities offered in the course, students acquire the fundamental skills necessary for big data analytics and real-time processing.

Apache Spark Overview

Apache Spark is an open-source, distributed computer system to achieve the fast and effective processing of large-scale data. It provides a unified platform to perform batch processing, real-time streaming, machine learning, and graph computation. With the ability to perform in-memory processing, Apache Spark has become preferable to and faster than legacy big data tools such as Hadoop. Spark was built to enable developers and data engineers to gather data and build powerful analytics and business intelligence tools using the additional built-in modules Spark SQL, MLlib, GraphX, and Spark Streaming. Companies use Apache Spark to develop scalable data solutions, real-time data pipelines, and predictive analytics.

Mulesoft Course Topics Covered Applications of Apache Spark Admin Course Tools Used
Introduction to Big Data & Spark Architecture Real-Time Data Analytics Apache Hadoop
Spark Core & RDD Operations Data Streaming and ETL Pipelines Apache Kafka
Spark SQL and DataFrames Business Intelligence Dashboards Python
Spark Streaming & Machine Learning (MLlib) Cloud Data Integration Scala
GraphX and Data Visualization Predictive Analytics Solutions Databricks
Performance Tuning & Optimization Enterprise Big Data Management Spark SQL
Integration with Hadoop & Kafka Cloud-Based Data Processing AWS & Azure
Hands-on Projects & Case Studies Advanced Data Modeling Jupyter Notebook

Why Choose Infibee Technologies for Apache Spark Course in Bangalore?

  • 15+ Years Experienced Trainers from Top IT Firms

  • 100% Placement Assistance with Interview Preparation

  • Real-Time Projects with Industry-Level Data Scenarios

  • Affordable Fees with Flexible Payment Options

  • Resume & Portfolio Building Sessions

  • Lifetime Access to Recorded Sessions

  • Small Batch Sizes for Personalized Mentorship

  • Global Certification Guidance

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

Located in Bangalore,Infibee Technologies is the leading Apache Spark Course Institute in Bangalore for Spark built around the needs of the industry. Staff, modules and hands-on real-time analytics and large-scale data processing projects have been designed to give students the needed practical experience. Infibee has designed the course in such a way that students will master the analytical and programming skills needed to use Hadoop, Kafka, and Databricks. Professionals targeting data engineering, machine learning and data analytics tend to choose Infibee because of the focus that it places on career transformation.

To ensure your success, we offer state-of-the-art lab facilities, hands-on training, and collaboration with leading IT companies for job placements.

Certification Provided 

Infibee Technologies awards students with internationally valid certification for completion of Apache Spark Course in Bangalore. This certification attests to your proficiency in big data processing and real-time analytics. It positions you for senior positions in the industry, including Data Engineer, Spark Developer and Big Data Analyst. This also certifies you for credentials in Data analytics and Data Spark for Cloudera and Databricks Spark Developer.

Alumni Success – Placed in Top MNCs

Our alumni are placed in top MNCs like TCS , Infosys , Cognizant , Accenture , Wipro

Modes of Apache Spark 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) Certification Expiry
1 Databricks Certified Associate Developer for Apache Spark ₹18,000 3 Years
2 Cloudera Certified Data Analyst ₹22,000 3 Years
3 HDP Certified Spark Developer ₹20,000 2 Years
4 IBM Big Data Engineer with Apache Spark ₹25,000 3 Years

Benefits of Learning Apache Spark Course in Bangalore

  • High demand for Spark professionals in data-driven industries

  • Mastery in real-time data streaming and analytics

  • Industry-relevant project experience

  • Global certification and placement support

  • Exposure to cloud integration with AWS and Azure

  • Lucrative career opportunities in Data Engineering

What You’ll Learn

  • Spark Core and Cluster Management

  • RDDs, DataFrames, and Datasets

  • Spark SQL and Streaming Concepts

  • Machine Learning (MLlib)

  • Performance Optimization and Debugging

  • Integration with Hadoop and Kafka

Who Can Join?

  • Fresh Graduates (B.E/B.Tech/MCA)

  • Data Analysts and Developers

  • Big Data Engineers

  • Software Professionals seeking upskilling

  • Cloud & DevOps Engineers

Career Opportunities in Apache Spark

Category Role Expected Salary (LPA)
Freshers (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 Testing Lead 8–12
Senior (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 Testing Specialist 10–15
Apache Spark Security Tester 10–15
Apache Spark Testing Expert 15–18

Who’s Hiring Apache Spark Professionals?

  • TCS

  • Infosys

  • Wipro

  • Accenture

  • IBM

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 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 Bangalore, 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
Visit our website and submit the inquiry form. Attend a free demo session to understand our training process.

Step 2: Select Your Training Mode
Choose from classroom, online, corporate, or self-paced training. Finalize your batch timing and convenience.

Step 3: Start Your Apache Spark Journey
Learn from industry experts, work on live data projects, and get ready for global certification.

Enroll Today: Unlock Your Apache Spark Potential!

Accelerate your career with Infibee Technologies, the most trusted Apache Spark Course Institute in Bangalore. Get globally certified, work on real-world projects, and secure high-paying roles in top MNCs.

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Why People Choose Infibee ?

Upcoming Apache Spark  Batches In Bangalore

08-12-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
10-12-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
12-12-2025
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 Bangalore

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