Learn Big Data Hadoop Training in Pune with the core tools used in distributed data systems: Apache Hadoop, HDFS, YARN, MapReduce, Hive, Pig, Sqoop, Flume, Spark, Spark SQL, Spark Streaming, Kafka, and SQL. Build the foundation for big data engineering, data pipeline work, and Hadoop-based analytics in Pune.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 60 Days + Placement
Free Session
Get Job with our Guaranteed Placement Support Program
Learning Hadoop is only part of the job. You also need to explain HDFS, Hive, MapReduce, Spark, and data pipelines clearly in interviews, and that is where Inventateq's placement support helps.
Pune companies hiring for Hadoop and big data roles usually come from analytics, enterprise IT, data platform, consulting, and product teams. Salary grows with hands-on experience in Hadoop, Spark, SQL, and pipeline design.
Big Data Hadoop Average Salary by Experience
Pune companies hiring for Hadoop and big data roles usually come from analytics, enterprise IT, data platform, consulting, and product teams. Salary grows with hands-on experience in Hadoop, Spark, SQL, and pipeline design.
Big Data Hadoop Average Salary by Experience
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4.7/5 · 1,432+ Verified Reviews
Inventateq teaches Big Data Hadoop in a practical way, using the actual tools and concepts that appear in data engineering work. The course moves from big data foundations and Hadoop ecosystem basics to HDFS, MapReduce, Hive, data movement, Spark awareness, pipeline thinking, and a real project workflow.
We stand apart through our commitment to:
The live online Big Data Hadoop classes for Pune learners follow the same practical syllabus. You join sessions with the trainer, work through the tools and examples in real time, and get help during exercises and project discussions.
Good for students who want a direct entry into big data, data engineering, or Hadoop support roles.
Useful for developers, analysts, and support engineers who want to move into data platforms and ETL work.
Fits developers who want to understand distributed storage, processing, and data pipelines.
Helps analysts build stronger SQL, Hive, and Spark-side technical skills.
Works for non-Hadoop professionals who want structured training and placement support in Pune.
Mode: Offline classroom and live online options
Training style: Instructor-led, hands-on, and tool-based
Audience: Beginners and working professionals
Location: Pune with online access for remote learners
No prior Hadoop experience is needed to start this course.
Rated 4.9/5
Inventateq focuses on practical Hadoop training that matches how data teams actually work. The course is taught through tools, workflows, and project steps, so learners understand both the concepts and the execution.
You learn to work with distributed storage, SQL on big data, ingestion, processing, and project workflow. The result is practical knowledge you can discuss in interviews and use in entry-level data roles.
Learn how HDFS, YARN, and MapReduce work together in a distributed system and why each part matters.
Practice loading data, managing tables, and querying big data using Hive concepts.
Learn the basics of moving data between databases and Hadoop using Sqoop and related workflow thinking.
Build awareness of RDDs, DataFrames, and faster processing patterns used in modern data platforms.
Understand dependencies, monitoring, reruns, and operational reliability in recurring jobs.
Complete a project that combines ingest, store, query, and transform steps in a job-ready way.
The certification validates your understanding of Hadoop ecosystem basics, HDFS, MapReduce, Hive, data movement, and Spark awareness. It helps employers see that you have structured training in the tools and workflows used in big data roles.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Yes. The course starts with big data foundations before moving into Hadoop tools and processing concepts. Beginners can follow the sequence step by step with mentor support.
Yes, the syllabus includes a real project workflow. You will work through ingesting, storing, querying, and transforming data in a way that matches job expectations.
Yes. Placement support includes resume help, mock interviews, and guidance for roles such as Big Data Engineer, Hadoop Developer, ETL Developer, and Data Engineer. The support is tied to the course skills, not just general job advice.
Yes, if they are ready to learn the basics in a structured way. The training explains the Hadoop ecosystem, Hive, and processing concepts clearly so new learners can build confidence.
Yes. The course is available through live online classes as well as offline classroom learning. Online learners still follow the same practical syllabus and get mentor interaction.
The course duration can vary by batch format, but the training is structured across multiple modules from foundations to project work. You can choose offline or live online learning based on what suits you.
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Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!