Project Based Learning (Big Data)

Most of the working software professionals struggle to find a project after learning new technologies. 

Project based learning is a step to bridge that gap.

Key highlights of the program are, 

  • 3 months duration proof of concept project – DIY – we would provide problem statement and implementation guidelines 
  • 6 online checkpoint meetings (3 hrs each) during 3 months duration generally on Weekday evening’s and/or Saturday’s. 
  • You would develop a working prototype / demo using big data technologies you already know (Eg. Spark, NoSQL, NiFi, Hadoop etc)
  • Team formation within people who join this program – encourage people from same organization to join together
  • Code reviews and feedback during the checkpoint meetings. Final closure presentations by the teams. 
  • 8-12 hrs / week of participant efforts to complete the project assuming participants already know the technologies
  • Cloud component to move data in and around from storage like S3 (Participant would need AWS or Azure or Google Cloud account)
  • Completion OR Participation Certificate depending upon how much you complete the prototype / demo


Prerequisites / Expectations from Participants

Participants should already have basic understanding of technologies to be used in PBL projects. 

Recommended learning resources for common big data technologies are listed below. You can choose to use other resources as well for learning these technologies. 

You can also attend our technical sessions at DataioticsHub Meetup Events


Frequently Asked Questions

In project based learning program we aim to provide data integration  projects to participants which would involve working with multiple big data technologies. These projects would typically require you to load data from multiple sources, integrate them together, building data curation and data access api’s like search for downstream systems. 

During first checkpoint meeting your project team will be formed from within the registered participants. We aim to have complimentary  big data technical skills between the team members to maximize collaboration.

We expect team size to be 2-4 members depending upon the batch size. 

There would be 6 checkpoint meetings distributed over 10-12 weeks.

Checkpoint meetings would happen online to allow us to have participants from anywhere in the world. Across location collaboration is becoming more and more important in today’s software industry.

During the checkpoint meetings we would provide implementation guidelines as per the project requirements, do code reviews, provide feedback and discuss next steps. There would be a final demo from all teams in the last checkpoint meeting.

We expect each participant to spend 70 – 100 hrs distributed over 10-12 weeks. The checkpoint meetings time of about 20 hrs is additional to these efforts. 

Ideally we would like each team to do research and try to solve technical issues independently. On case to case basis we would provide some additional guidelines / support by scheduling short meetings with the team who needs help. However we would not have more than 1-2 such short meetings with us by any team between checkpoints.

We recommend each team to have at least 2-3 working meetings among themselves between each scheduled checkpoint meeting with us.  We would provide more guidelines about it during kickoff.

Your mentors during this program would be industry practitioners in big data and related technologies. VCubeC, the company behind this program has team of big data professionals.

Yes, we recommend doing multiple projects with increasing complexity. However you would be charged for each PBL program you enroll for. 

If you need more details please contact us via form or whatsapp. 


For more queries on project based learning please write to us using form below or WhatsApp us

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