APACHE SPARK Course in Chennai

4.7/5

Infibee offers India’s #1 Apache Spark Course In Chennai with certification and job placements.

Infibee Technologies provides of Apache Spark Training in Chennai. Apache is an open-source processing engine that will be used for big data analytics. It supports large-scale data processing and a lot of programming languages. We will mainly focus on the training to be given to the participants while learning the basics and functionalities of Apache Spark. Among major topics, it deals with architectures of Spark, RDDs, DataFrames, and Spark SQL. This course will focus on training participants in machine learning and stream processing through Spark, which should be combined with some hands-on exercises and real-world examples where big data is approached. The perfect course for analysts, software developers, and IT personnel who are enthusiastic about big data and analytics, led by experienced instructors guiding every participant in the process. It teaches the students how to process big data and then analyses them using Apache Spark.

Join Infibee Technologies in Chennai to gain expertise in Apache Spark Training Institute in Chennai and advance your career in data analytics.

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Adobe Analytics Course in Chennai Overview

Seeking a career in Apache Spark? Then you need not look beyond Infibee Technologies, as this Best Software Training Institute In Chennai will train you. Created by industry experts, our Apache Spark course is designed to equip you with the critical skills and effective ideas applied in order to thrive in the domain of Apache Spark.

Upon completing our course, you will be equipped with hands-on experience and detailed knowledge of methods, tools, and techniques related to Apache Spark. You will learn to process large datasets, identify performance bottlenecks, and ensure efficiency and accuracy in the data workflow by the end of your training.

From beginner to professional career, we have courses that will upgrade your skill sets. The online courses are designed using hands-on training with real-time case studies and projects to ensure learners’ skills for the successful use of Apache Spark.

Want to enter the world of Apache Spark career opportunities? Our training programme is just the doorway for you. In our free demo class and 100% placement assistance, our Apache Spark Training in Chennai gives the kick-off to the Apache Spark career of yours.

What Is Apache Spark Used For?

Apache Spark is one type of open-source framework for real-time processing of large datasets. It can perform big data processing, real-time stream processing, and machine learning. Spark accomplishes this by distributing data and computations across many computers thereby making work with large amounts of data possible and efficient. It supports a variety of languages including Java, Scala, and Python. This allows developers to write code in the language with which they are comfortable. It can be used for batch processing, interactive queries, and the execution of algorithms for clustering, classification, or other tasks in machine learning. The fact that it can process data in real-time makes it an appropriate application for those applications requiring fast insights from the data.

How Can I Boost My Career With Apache Spark?

Our Apache Spark Certification Course in Chennai can elevate the career of the candidate by improving their data processing skills. It is a complete tool for the process of big data and has been adopted by the industries of finance, the health sector, and information technology sectors. Being good at Spark will put you in a position where you can showcase real-time data analytics, machine learning, and data engineering. It streamlines intricate data operations and speeds up processing, making you more efficient. Employers appreciate these skills since they result in better decision-making and streamlined operations. This utility is assisted by integration with other tools like Hadoop compatibility across a number of programming languages among others. As data becomes more relevant, expertise in Apache Spark Course in Chennai makes a candidate all the more attractive to the roles of a data scientist and an analyst.

Who Can Apply For This Apache Spark Training?

This APACHE SPARK Certification Training in Chennai is open to all interested in the topic of big data processing. It would be especially ideal for software developers, data engineers, and data scientists as well as IT professionals. Those with knowledge of programming and data analysis will be mainly benefited from this experience. This APACHE SPARK Training in Chennai would be apt for the students who study computer science or allied subjects. For professionals aiming to change their career to data analytics or big data, they can also apply here. Some prior experience with programming languages, like Python or Java, would be helpful. The overview regarding the knowledge on APACHE SPARK and its applications will be given.

Why choose Infibee Technologies for Apache Spark Training In Chennai?

Infibee Technologies is the Best Apache Spark Training Institute in Chennai. We provide advanced curriculum in place to cater to the demands of the present-day landscape of Apache Spark. The course is conducted by experienced trainers with practical knowledge in the field. This gives students hands-on training for maneuvering the challenge of Apache Spark. Our courses, scheduled at flexible times and held in comfortable locations, are suitable not only for working professionals but also for students. Applications and case studies help participants acquire the practical skills involved in handling Apache Spark, which sets a good basis for a successful career in data processing. In addition, our placement assistance services ensure a smooth transition into the Apache Spark field.

HIGH LIGHTS OF COURSE

  • Demo classes free.
  • Pax Per Batch Restricted (2-4 pax per batch).
  • Batches are available for experienced as well as fresh candidates
  • Curriculum is designed according to present market trends
  • Class recordings and study material will be provided
  • Training will be done by industry experts
  • Constant weekly assessments and mock tests will be conducted by self-evaluation.
  • Mock projects are practiced at the end of the course
  • Tips for preparation on interviews and resume

Is Securing a Course Training on Apache Spark in Chennai the right option?

You can work in various data processing and analytics careers with Apache Spark course training in Chennai. It is widely applied as it is fast and effortless to deal with massive datasets. Certification will point to potential employers that you are proficient in using Spark – this pretty much describes a profile of a skilled engineer, and also an analyst that will be capable of working on big data and analytics, and it could contribute towards a better job with higher salaries, thus positioning you in a more competitive way in the job market. Certification alone cannot promise a job position however, it adds value to your resume and can be an important step if you are interested in big data and analytics careers.

What Are The Career Options Once This Course Is Completed?

Once you have completed this Apache Spark course successfully, you will obtain certification along with assured employment referrals. Job referrals at Infibee Training Institute cover an extensive range of position and placements options available in the markets such as stock, startups, MNCs, Enterprise, Private equity organization, and even in healthcare sectors.

Career Possibilities After Completing Apache Spark Training:

Entry-Level (0–3 years):

  • Apache Spark Developer Trainee: 3–4.5 LPA
  • Junior Apache Spark Developer: 4–5.5 LPA
  • Apache Spark Engineer: 4–5 LPA

Mid-Level (4–8 years):

  • Apache Spark Developer: 5–8 LPA
  • Senior Apache Spark Engineer: 8–12 LPA
  • Apache Spark Specialist: 8–12 LPA
  • Apache Spark Lead: 8–12 LPA

Senior/Experienced (9+ years):

  • Principal Apache Spark Developer: 12–18 LPA
  • Head of Apache Spark Development: 15–20 LPA
  • Apache Spark Consultant: 18–25 LPA

Specialised Roles:

  • Apache Spark Big Data Engineer: 10–15 LPA
  • Apache Spark Streaming Specialist: 10–15 LPA
  • Apache Spark Machine Learning Engineer: 10–15 LPA

Benefits of Our Apache Spark Certification Course:

Enrolling in our Apache Spark Course Near me in Chennai offers several advantages, including:

  • Comprehensive syllabus covering essential concepts.
  • Customised curriculum consultation.
  • Hands-on experience with industry projects.
  • Flexible learning options with recorded videos and live sessions.
  • Real-world interview preparation.
  • Dual certifications from renowned institutions.
  • Guaranteed job referrals.
  • Hybrid course format for convenience.
  • Five-month duration with lifetime access.

Enroll Today and Unlock Your Potential in Apache Spark!

Don’t miss out on the opportunity to boost your career with our Apache Spark Training in Chennai. Enroll today on a learning journey and become proficient in Apache Spark.

For more information on the syllabus, duration, and enrollment process, visit our website or contact us at contactus@infibee.in

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Upcoming Apache Spark  Batches In Chennai

10-02-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
05-02-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
07-02-2025
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?
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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
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Annual Salary
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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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