Learn Big Data Hadoop in Vijayawada & Amaravati with hands-on training on Apache Hadoop, HDFS, YARN, MapReduce, Hive, Pig, Sqoop, Flume, Spark, Kafka, and SQL. Build the distributed storage, processing, and data pipeline skills used in entry-level and mid-level data engineering roles.
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
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Learning Hadoop is only useful when you can explain distributed storage, batch processing, and pipeline design in interviews. Inventateq focuses on practical placement support so learners in Vijayawada & Amaravati can move into data engineering and Hadoop-related roles with clear job-ready preparation.
Big data and data engineering roles are hired across IT services, analytics teams, product companies, and platform-driven businesses in Vijayawada, Amaravati, and remote hiring markets. Salary usually grows as learners move from Hadoop support and trainee roles into data engineering, big data development, and architecture work.
Big Data Hadoop Average Salary by Experience
Big data and data engineering roles are hired across IT services, analytics teams, product companies, and platform-driven businesses in Vijayawada, Amaravati, and remote hiring markets. Salary usually grows as learners move from Hadoop support and trainee roles into data engineering, big data development, and architecture work.
Big Data Hadoop Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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Inventateq teaches Big Data Hadoop in a practical sequence, starting with big data foundations and moving through HDFS, MapReduce, Hive, Pig, Sqoop, Spark, and modern cloud data platform awareness. The focus is on understanding how distributed systems work, how data moves through a pipeline, and how to explain that work clearly in interviews.
We stand apart through our commitment to:
Live online training from Vijayawada & Amaravati is designed for learners who want the same structured Hadoop course from home. You can attend instructor-led sessions, ask questions in real time, and follow the full syllabus without losing the practical format.
Good for learners who want to start in data engineering, Hadoop support, or ETL work.
Useful for analysts and IT professionals moving into big data platforms and pipeline roles.
Suitable if you can follow structured practice and want to learn Hadoop concepts from the ground up.
Helpful for people who already know SQL and want to apply it in Hive and big data workflows.
Fits candidates shifting from testing, support, or reporting into data engineering roles.
Mode: Offline classroom and live online options
Training style: Instructor-led practical sessions
Learning pace: Step-by-step module progression
Support: Doubt clearing and revision guidance
No prior Hadoop experience is needed to start this course.
Rated 4.9/5
Inventateq trains learners with a practical, job-focused approach that matches how Hadoop and big data tools are actually used. The course moves from fundamentals to project work, so you learn the concepts, the tools, and the way to explain them in interviews.
By the end of the course, learners can work through Hadoop-based storage and processing tasks, handle SQL on big data, and understand pipeline flow. They also gain the confidence to present a project and talk about the tools used in it.
Practice HDFS, YARN, MapReduce, Hive, Pig, Sqoop, and Spark in the context of real data handling tasks.
Learn how big datasets are stored, replicated, processed, and queried across a cluster.
Use Hive and Spark SQL concepts to analyze data in a structured way.
See how ingestion, transformation, orchestration, and reliability fit into one process.
Finish with a project that helps you explain architecture decisions and tool usage clearly.
Connect Hadoop foundations to current roles in data engineering and platform teams.
This certification validates your understanding of Hadoop fundamentals, distributed processing, Hive, Spark awareness, and pipeline thinking. It helps employers see that you have practical training in the tools and concepts used in big data support and data engineering 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 course starts with big data foundations and then moves into Hadoop, HDFS, MapReduce, Hive, and Spark concepts step by step. You do not need prior Hadoop experience to join.
Yes, the training is practical and tool-based. You work with Hadoop ecosystem concepts, SQL on big data, data movement ideas, and a real project workflow.
Yes, Inventateq provides placement assistance for data-related roles. That includes resume support, mock interviews, project presentation help, and career guidance.
Yes, if you are willing to learn structured logic, SQL basics, and the workflow behind distributed systems. The course is designed to make Hadoop concepts easier to follow.
Yes, the course can be attended through live online training. You get instructor-led sessions, doubt clearing, and the same practical syllabus used in classroom learning.
The duration depends on the batch format and learning pace, but the course is delivered in a structured module sequence. You move from foundations to project work in a planned way.
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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!