Apache Spark Course in Hyderabad

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This course features practical sessions with actual projects, hands-on experience with Apache NiFi applications, help with CV writing, practice interviews, and full support in job hunting. We keep our fees reasonable, offer flexible class schedules, and employ seasoned instructors to make sure each student gains knowledge that’s relevant to the industry.
Enroll now at Infibee – the leading Apache Spark Course Training Institute in Hyderabad – and take a confident leap into the world of Big Data.

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Adobe Analytics Course in Hyderabad Overview

Infibee Technologies is known for Offering APACHE SPARK Training in Hyderabad to help data experts with real-time big data tools and processing skills. It has become common to leverage Apache Spark which is an open-source system for distributed computing and is incredibly fast at analyzing large-scale data. The main goal of Infibee’s APACHE SPARK Course In Hyderabad is to prepare students and tech enthusiasts for modern industry demands by equipping them with expertise to manage intricate data pipelines, streaming datasets, and machine learning workflows.

At Infibee, we ensure that students learn to work on real-life projects that equip them with the ability to master Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX. Our courses cater to entry-level candidates wishing to launch their journey in technology as well as experienced professionals seeking to advance their knowledge. We focus on using modern teaching tools like live classes, and interactive sessions delivered by industry experts that come with guaranteed positive outcomes for all participants. Be part of the most reputed APACHE SPARK Training Institute in Hyderabad and harness the power of Spark to leverage data into prospects.

 

Why Choose Infibee Technologies for APACHE SPARK Course in Hyderabad? Key Highlights

  • 100% Job-Oriented Training

  • Expert Mentors with Real-Time Project Experience

  • Hands-on Labs & Live Project Work

  • Affordable Course Fees

  • Resume Building & Interview Prep

  • Lifetime Access to Course Materials

  • 24/7 Learning Support

  • Flexible Batch Timings (Weekend & Weekday)

  • Recognized Certification

  • Proven Track Record of High Placement Rates

Choose Infibee Technologies for the best APACHE SPARK classes in Hyderabad and gain the confidence to ace your career in Big Data.

Best APACHE SPARK Training Institute in Hyderabad – Get Certified with Infibee Technologies

We at Infibee Technologies APACHE SPARK Training Institute take pride in being the best in Hyderabad offering an unparalleled learning experience with real-time projects and industry-ready skills. We focus on closing the industry-academia gap through our APACHE SPARK Course in Hyderabad.

Every module, from the fundamentals in Spark Core to the advanced Spark Streaming and MLlib integration, is developed using industry best practices. Infibee’s trained and seasoned instructors ensure you gain first-hand knowledge using tools from leading tech companies so you are equipped to face industry challenges.

At Infibee, we equip you with tailored mentorship services, career guidance, and industry standard mock interviews tailored for the aspirational roles you want. Along with our strong industry relations, we provide 100% placement assistance making us the preferred institute with learners who are ready to work hard. Earn globally recognized certification with us today and unlock all opportunities with your big data skills. At Infibee, we don’t just teach Spark. We help you master it.

 

Global Certification for APACHE SPARK (with INR Cost)

S.No Certification Code Cost (INR) Certification Expiry
1 HDPCD (Hortonworks) ₹18,000 Lifetime
2 Databricks Associate ₹21,000 2 Years
3 Databricks Professional ₹25,000 2 Years
4 Cloudera CCA 175 ₹19,500 3 Years
5 Spark Developer Cert ₹17,000 Lifetime

Benefits of Learning the APACHE SPARK Course

  • High demand for Big Data professionals

  • Accelerated data processing using in-memory computation

  • Versatile usage in AI, ML, and real-time analytics

  • Integration with Hadoop, Hive, Kafka, and more

  • Attractive salary packages and global opportunities

  • Open-source ecosystem with constant evolution

  • Career flexibility across industries

Career Opportunities in APACHE SPARK

Experience Level Role Salary Range (INR LPA)
Freshers (0–3 years) Spark Developer Trainee 3–5 LPA
Junior Big Data Engineer 4–6 LPA
Data Analyst with Spark 4.5–6.5 LPA
Mid-Level (4–8 years) Spark Engineer 6–10 LPA
Senior Data Engineer (Spark) 10–14 LPA
Spark Streaming Expert 10–15 LPA
Big Data Architect (Spark) 12–16 LPA
Senior (9+ years) Principal Spark Engineer 15–22 LPA
Head of Data Engineering (Spark) 18–25 LPA
Spark Consultant 20–30 LPA
Specialised Roles Spark + ML Engineer 12–18 LPA
Spark Cloud Architect 15–22 LPA
Real-Time Analytics Expert (Spark) 14–20 LPA

Who’s Hiring APACHE SPARK Professionals?

  1. Amazon Web Services (AWS)

  2. TCS (Tata Consultancy Services)

  3. Accenture

  4. Infosys

  5. Google Cloud India

  6. Wipro

  7. Deloitte

  8. IBM

  9. HCL Technologies

  10. Capgemini

Enroll Today: Unlock Your APACHE SPARK Potential!

Start your data career by enrolling in Infibee Technologies APACHE SPARK Training in Hyderabad. With us, you can work with industry experts, gain theoretical and practical knowledge with real-time projects, and earn certifications. As a student, fresher, or a professional, our training schedules offer guided exposure to maintain a competitive edge. Grab this opportunity and book your spot at the leading APACHE SPARK Training Institute in Hyderabad. Claim your seat now and ignite your future with Spark.

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Upcoming Apache Spark  Batches In Hyderabad

14-07-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
16-07-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
18-07-2025
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 Hyderabad

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