Learn Big Data Hadoop in Bangalore with hands-on training on Apache Hadoop, HDFS, MapReduce, YARN, Hive, Pig, Sqoop, Flume, Spark, Spark SQL, Spark Streaming, Kafka, and AWS EMR. Build the practical foundation needed for data engineering, Hadoop support, and ETL roles.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
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24,999₹
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Learning Hadoop is only useful when you can turn it into interview-ready skills. Inventateq helps learners in Bangalore build that bridge with practical placement support focused on data engineering, big data support, and ETL roles. The guidance is direct, structured, and aligned to the tools taught in the course.
In Bangalore, Hadoop and big data skills are hired across analytics teams, data platform teams, ETL teams, and cloud data environments. Salary grows with hands-on work in Hadoop, Hive, Spark, and data pipelines, especially when you can explain the system clearly in interviews.
Big Data Hadoop Average Salary by Experience
In Bangalore, Hadoop and big data skills are hired across analytics teams, data platform teams, ETL teams, and cloud data environments. Salary grows with hands-on work in Hadoop, Hive, Spark, and data pipelines, especially when you can explain the system clearly in interviews.
Big Data Hadoop Average Salary by Experience
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Inventateq teaches Big Data Hadoop with a practical sequence that starts with big data foundations and moves through HDFS, MapReduce, Hive, Pig, Sqoop, Spark, and pipeline thinking. The training is built around real platform concepts, not just tool names, so learners understand how Hadoop-era systems connect to modern data engineering roles in Bangalore.
We stand apart through our commitment to:
The live online format gives Bangalore learners access to the same Big Data Hadoop curriculum from anywhere. It is suitable for students and working professionals who want live mentor support, screen-shared demos, and practical sessions without commuting.
Good for learners starting in data engineering, Hadoop support, or analytics roles.
Useful for developers, testers, and analysts moving into big data and ETL work.
Suitable if you want to understand data platforms, SQL, and distributed processing step by step.
A fit for those who want to move into Hadoop support or data platform associate roles.
Helps people shifting toward big data, data engineering, and cloud data roles in Bangalore.
Mode: Offline classroom and live online training
Focus: Big Data Hadoop with project-based learning
Tools: Hadoop, HDFS, Hive, Pig, Sqoop, Spark, Kafka, AWS EMR
Approach: Concepts first, then hands-on execution
No prior Hadoop experience is needed to start.
Rated 4.9/5
Inventateq focuses on practical training that matches how big data systems are used in real jobs. Learners move through Hadoop, Hive, Spark, and pipeline concepts in a way that supports project work, interview preparation, and role readiness.
By the end of the course, learners understand how data moves through Hadoop systems and how processing jobs are designed. They also gain practical experience with the tools and concepts that employers expect in entry-level and growing data roles.
Learn how HDFS, YARN, and MapReduce work together so you can explain the system clearly in interviews and project discussions.
Use Hive to query large datasets, manage tables, and handle transformation tasks in a structured way.
Learn the role of Sqoop, Flume, and related ingestion concepts in moving data between systems.
Understand how Spark supports modern processing and how it relates to Hadoop-based workflows.
Complete a real workflow covering ingestion, storage, querying, and transformation for career-focused learning.
Use the course outcomes to target roles such as Hadoop Developer, Data Engineer, ETL Developer, and Big Data Engineer.
This certification validates your understanding of Hadoop ecosystem concepts, distributed storage, processing workflows, and modern big data platform awareness. It helps show employers that you have learned the practical foundations needed for data engineering and Hadoop-related 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.
Validate your skills with recognized industry credentials.
Yes. The syllabus starts with big data basics and then moves into Hadoop ecosystem components step by step. You do not need prior Hadoop experience to begin. A basic understanding of logic and data handling is enough to start.
Yes. The course includes practical coverage of HDFS, YARN, MapReduce, Hive, Pig, Sqoop, Spark, and related workflow concepts. The training is designed to help you understand how the tools are used together. That makes the learning more useful for interviews and projects.
You can target roles such as Big Data Intern, Data Engineering Trainee, Hadoop Developer, ETL Developer, Data Engineer, and Big Data Engineer. With more experience, you can move into senior data and architecture roles. The course is built to support that progression.
Yes. Placement support includes resume help, mock interviews, project review, and role targeting. The guidance is focused on turning your course work into interview-ready experience. That matters in Bangalore, where employers expect clear technical explanation as well as tool knowledge.
Yes. The course is suitable for working professionals who want to move into data engineering, ETL, or big data support work. The class structure works for learners who need a practical, guided approach. Both offline and live online learning options are available.
Yes. Along with Hadoop and Hive, the syllabus includes Spark awareness and cloud big data platform concepts such as AWS EMR and Databricks-oriented thinking. This helps bridge classic Hadoop knowledge with current data engineering environments. That combination is important for today’s job market.
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