90%+Placement Assistance Rate
Hadoop Training in Marathahalli, Bangalore
Build Strong Big Data Hadoop Skills Through Practical Training
Learn to work confidently with Hadoop through structured, hands-on training covering HDFS, MapReduce, YARN, Hive, Pig, HBase, Sqoop, and Spark. Apply your learning through real-world labs and case studies while developing practical big data processing skills aligned with workplace requirements.
Real time industry trainers- Certificate on completion
- Classroom + online available
- Flexible batch timings
15+Courses Across 6 Domains
15+Years Training IT Professionals
5,000+Students Trained
Industry Recognition
Build Big Data Skills That Stay Relevant Across Industries
Hadoop isn't tied to one industry or one type of company. Banking, telecom, retail, social media, and insurance companies all rely on Hadoop's ecosystem to store, process, and analyze massive, unstructured datasets, which means the skills you build here transfer across sectors, not just one job market. This course is structured around the complete Hadoop ecosystem, from HDFS and MapReduce through Hive, Pig, and Spark, so what you learn maps to what Big Data Engineers actually build on real enterprise pipelines.
Runs across every industry
Banking, telecom, retail, insurance, and social media companies all rely on Hadoop to manage large-scale, unstructured data, so your skills aren't locked to one sector.
Still relevant for large-scale enterprise workloads
Many organizations still rely on Hadoop ecosystems for large data archives, ETL workloads, and compliance-driven storage processing, and combining Hadoop with cloud and SQL depth continues to command strong offers in the big data engineering market.
Enterprise recognized skillset
Used by global enterprises and Indian conglomerates alike, making the skill portable across company size and geography.
Salary data, sourced
Fresher entry around ₹4 to 6.5 LPA, moving to ₹8 to 15 LPA within 1 to 2 years and ₹16 to 24 LPA with 2 to 4 years of experience.
Tools & TechnologiesWhat you'll work with
Build practical Big Data skills with Hadoop ecosystem technologies used for distributed storage, processing, data analysis, and large-scale data workflows.
Course Curriculum
A Practical Curriculum Designed Around Real Big Data Processing Workflows
This Hadoop course in Bangalore covers everything from Big Data fundamentals to the full Hadoop ecosystem and Spark processing, structured across 10 modules with hands-on labs throughout.
Introduction to Big Data and Hadoop Understanding Big Data: limitations and solutions of existing data analytics architecture
- What is Hadoop, and how it solves Big Data challenges
- Overview of the Hadoop Ecosystem and Hadoop 2.x core components
HDFS (Hadoop Distributed File System)
- HDFS architecture and shell commands
- Reading and writing files in HDFS, data flow, and archives
- Installation in standalone, pseudo, and cluster modes
MapReduce Framework MapReduce design flow: splitting, mapping, combining, reducing, and output
- Input formats, input splits, and output formats
- Optimization techniques: speculative execution and JVM reuse
YARN and Cluster Fundamentals YARN architecture and resource management
- Startup and admin commands for cluster operations
- Commissioning and decommissioning nodes
Cluster Configuration and Maintenance Configuring a cluster: core-site.xml and mapred-site.xml files
- Maintaining a cluster: filesystem checks, HDFS balancer utility, and adding new nodes
- HDFS metadata backup and datanode volume failure handling
Apache Hive Hive architecture: metastore, driver, and execution engine
- Hive data types, DDL/DML commands, and loading/querying data
- Running Hive scripts and Hive UDFs (User Defined Functions)
Apache Pig Pig concepts, Pig Latin, and Pig commands
- String functions, date functions, and Pig UDFs
- Parameter substitution using Pig macros
Apache HBase HBase concepts: CAP theorem and the role of ZooKeeper
- HBase installation, configuration, and architecture
- NoSQL data modeling with HBase
Sqoop, Flume, and Oozie Sqoop import/export: moving data between RDBMS and HDFS
- Flume for streaming data ingestion (for example, streaming data from Twitter into HDFS/HBase)
- Oozie as a workflow scheduler for pipelining Hadoop jobs
Apache Spark and Real-Time Project
- Introduction to Apache Spark: architecture, features, and RDDs (Resilient Distributed Datasets)
- Why Spark improves on MapReduce for iterative and in-memory processing
- Real time project integrating HDFS, Hive, and Spark, plus interview preparation
Is This for You?
Who Should Join This Hadoop Course
Freshers with a computer science or IT backgroundGraduates looking for an entry point into big data engineering roles.
Software developersDevelopers with Java or Python knowledge looking to specialize in large-scale data processing.
Database and ETL professionalsSQL/ETL developers looking to move into big data pipelines using Hive and Sqoop.
Data analysts and BI professionalsAnalysts looking to work with datasets too large for traditional tools.
System administratorsIT professionals looking to specialize in Hadoop cluster setup and administration.
Freelancers and independent consultantsProfessionals looking to upskill for Hadoop/Big Data freelance or contract opportunities.Flexible Batch Options
Choose a Batch That Fits Your Schedule
This Hadoop training in Bangalore with placement support is offered across multiple batch formats, all covering the same curriculum with hands-on lab exercises.
Ideal for freshers and full time learners.
- 1 to 2 hrs/day · Mon to Fri
- Morning and evening slots
- 8 to 10 weeks total
- Max 20 students
Best suited for working professionals.
- 2 to 3 hrs/session · Sat to Sun
- No clash with office hours
- 10 to 12 weekends total
- Max 20 students
Live Online Available Across IndiaSame trainer, same curriculum, same batch cap (max 20). No pre recorded videos: live cluster setup and pipeline demos, Q&A, and hands on lab practice in every session.
Gain Practical Insights From Industry-Experienced Mentors
MNP's Hadoop trainers bring a minimum of 5 to 10 years of hands-on expertise in big data engineering, with in-depth subject knowledge and real project implementation experience. Every session is built around real cluster and pipeline scenarios and the kind of questions that come up in Hadoop developer interviews.
Hadoop Lead Consultant10+ years in big data engineering and Hadoop ecosystem implementation- Hive and Pig SpecialistExpert in data warehousing with Hive, scripting with Pig, and Sqoop/Flume data ingestion
- Spark and Cluster Administration ExpertSpecializes in Spark processing, cluster configuration, and Hadoop administration
Turn Your Hadoop Skills Into Career Opportunities
Our Hadoop training in Bangalore with placement support includes:
- Resume building with Big Data Engineer specific templates
- Mock technical interviews with real Hadoop and Spark interview questions
- LinkedIn profile optimization
- Direct referrals to hiring partners actively seeking Hadoop/Big Data Engineers
- Weekly job notifications for Hadoop and big data roles in Bangalore
- Offer letter and salary negotiation guidance
Student Success Stories
What Our Hadoop Students Say
These are real students who trained at MNP Technologies and went on to secure Big Data Engineer and Hadoop Developer roles across Bangalore.
Anjali Sahu
Alchemy Techsol India
Thanks to the hands-on SAP FICO training and incredible placement support at MNP Technologies. This comprehensive program gave me the exact skills and confidence I needed to successfully land my dream career.
Bharath J
Sumadhura
The SAP MM training at MNP Technologies helped me gain practical knowledge, build confidence and secure a great opportunity. I’m grateful for the trainers and placement support.
Ashlesha Reddy
CSS Corp Pvt Ltd
Enrolling in MNP Technologies for AWS & DevOps was the best decision for my career, thanks to the incredibly supportive trainers who went above and beyond to solve every technical problem.
Durga Bhavani
Sumadhura
MNP’s live training and expert mentors gave me the practical SAP FICO skills needed to stand out. Thanks to their dedicated placement support and mock interviews, I easily secured my breakthrough corporate role!
G Manisha Naidu
BSOL System (P.V.T)
The AWS & DevOps training at MNP Technologies gave me the hands-on experience and confidence I needed to grow in my career. Thank you for the great support.
Mohan Rama Chandrareddy
Sumadhura
The live project training in SAP FICO at MNP Technologies gave me a massive corporate advantage and hands-on confidence. I am incredibly thankful to MNP and their brilliant placement team for helping me.
Nadigatla Sai Praveen
Sumadhura
The live training and case studies at MNP Technologies made complex SAP MM modules incredibly easy to master. Thanks to their consistent mock interviews and dedicated placement support, I built the confidence needed to clear my corporate selection process smoothly!
Syed Junaid Ahammad
Sumadhura
MNP’s live training and hands-on projects gave me a deep, practical understanding of SAP MM. Their dedicated placement support and mock interview sessions were excellent, helping me confidently clear my rounds and secure my job!
Monika
Course: AWS & DevOps
Enrolling in the AWS & DevOps course at MNP Technologies was a game-changer for me. The hands-on training with real-time scenarios gave me the exact technical skills and confidence I needed to transition into the cloud industry.
Philips
Course: AWS & DevOps
Thanks to the hands-on AWS & DevOps training and mentorship I received, I gained the confidence and real-world skills needed to successfully transition into a cloud and DevOps engineering role.
Sweta
Deloitte · AWS & DevOps
The practical exposure I got during my AWS & DevOps training at MNP Technologies was crucial in helping me step confidently into my role at Deloitte. The trainers focus on real-world enterprise scenarios that make all the difference.
Yogireddy
Course: AWS & DevOps
MNP Technologies doesn't just teach AWS & DevOps; they make you career-ready. Grateful to the entire team for the excellent mentorship and continuous support throughout my job hunt!
Musthak
Course: DevOps
Markappa
Course: SAP MM
Frequently Asked Questions
What is Hadoop?
Ans: Apache Hadoop is a widely used, open source Big Data management framework that addresses the complicated challenges of storing, processing, and analyzing large volumes of data across clusters of computers, using components like HDFS, MapReduce, and YARN.
Are there any prerequisites to join this Hadoop course?
Ans: If you're new to big data, no prior experience is required, since the course starts with an introductory module covering the basics of Hadoop architecture, HDFS, and MapReduce. A basic understanding of programming (Java or Python) and SQL is helpful but not mandatory.
Do I need to know Java or Python before learning Hadoop?
Ans: Prior programming knowledge in Java or Python helps, particularly for MapReduce programming, but isn't mandatory. The course builds up your understanding of Hadoop concepts progressively, so learners without deep programming backgrounds can still follow along.
What is the difference between Hadoop and Spark?
Ans: Hadoop's MapReduce processes data in batches, reading and writing to disk at each step, which can be slower for iterative workloads. Apache Spark processes data largely in-memory, making it significantly faster for iterative and real-time processing, and is often used alongside Hadoop's HDFS storage layer rather than as a full replacement.
What kind of job roles can I apply for after this course?
Ans: Graduates typically enter the market as Big Data Engineers, Hadoop Developers, Hadoop Administrators, and Data Pipeline Engineers.
Will I get hands-on cluster and pipeline experience during this course?
Ans: Yes. Practical mastery requires direct hands-on practice with HDFS, MapReduce, Hive, Pig, Sqoop, and Spark, culminating in a real time project integrating multiple ecosystem tools into a complete data pipeline.
What is the starting salary a fresher can expect after this course?
Ans: An entry level Hadoop/Big Data Engineer can expect a starting annual package ranging from ₹4 Lakhs to ₹6.5 Lakhs per annum (LPA), growing quickly with hands-on project experience.
What is the duration of the Hadoop program at MNP Technologies?
Ans: Our comprehensive, industry aligned Hadoop training pipeline is structured to be completed within a standard weekday or weekend batch schedule, depending on pace.
Is there Hadoop training in Marathahalli?
Ans: Yes, MNP Technologies conducts classroom Hadoop training in Marathahalli, Bangalore, alongside live online Hadoop training available across India, both capped at a maximum of 20 students.
Ready to Build Your Career in Hadoop & Big Data?
Choose from weekday, weekend, and live online batches with practical, industry-focused training in Marathahalli, Bangalore, or from anywhere in India. Book a free demo to explore the right learning path for your career goals.
