HADOOP Training Syllabus


Hadoop training syllabus

About the trainer who provides HADOOP training

Trainer has 8.5 years of experience and currently working as a consultant in a MNC.

He has the experience of working in implementation projects in Hadoop for international banks.

Along with deep knowledge of Hadoop ecosystem (Pig, Hive, Sqoop, Hue, HDFS, Map reduce, Spar etc) , he is well versed with Java/ J2EE.

 

Why choose us for Big data (Hadoop) training?

Project based training:

Students are assigned project to work on. By the end of training, student is expected to complete the project under the guidance of trainer.

Real business scenarios:

Trainers are working professional and share real time business cases. This helps students understand the industry expectation and prepare better for upcoming challenges.

Placement assistance:

We understand just training is not enough, we try our level best to help our students overcome challenges in job hunt.

Relationship:

We provide training keeping in mind that our students are our brand ambassadors. Students are most welcome to connect with us for any possible help even after training.

 

HADOOP training approach.

Training is going to be a mix of theory as well as practical.

We totally understand the importance of hands-on experience. Hence special emphasis is given to practical. Initially trainer explains the concepts and demonstrates the same on system. Later on students is expected to perform certain task under the guidance of trainer.

Trainer will be explaining all the concepts by providing real world examples or business examples.

Institute take the complete responsibility of arranging infrastructure (server) for training.

We work really hard with our students and we do expect students also to put equal efforts. Students are expected to practice as much as possible and raise questions/ doubts with trainer.