With Genpact and LatentView Analytics, Praxis Business School launching PG program in Data Engineering

By ANI | Published: January 29, 2021 01:45 PM2021-01-29T13:45:53+5:302021-01-29T13:55:07+5:30

Praxis Business School is launching its Post Graduate Program in Data Engineering, in association with knowledge partners Genpact and LatentView Analytics, to cater to the galloping demand for industry-ready data engineering resources.

With Genpact and LatentView Analytics, Praxis Business School launching PG program in Data Engineering | With Genpact and LatentView Analytics, Praxis Business School launching PG program in Data Engineering

With Genpact and LatentView Analytics, Praxis Business School launching PG program in Data Engineering

Praxis Business School is launching Post Graduate Program in Data Engineering, in association with knowledge partners Genpact and LatentView Analytics, to cater to the galloping demand for industry-ready data engineering resources.

This 6-months full-time industry-endorsed PG program will be delivered from the Praxis Bangalore campus and aims at providing a comprehensive and immersive learning experience and placement assistance for a lift-off into a successful and recession-proof career.

Data Engineering has emerged as a top career in today's data-driven world. The Data Engineering market size in India is expected to grow 4 times in the next 5 years to reach USD 42.3 billion by 2025 - a whopping 41 per cent of the Global Data Engineering services market. According to the DICE report, Data Engineering was the fastest growing career in 2019 at 45 per cent growth.

The program at Praxis is aimed at addressing this industry requirement, globally and in India. For career seekers, data engineering offers immense opportunities as demand far outstrips supply. It's an exciting, new-age career - data engineers manage the data of large enterprises - they construct and oversee database architecture; they determine how data is collected and stored; they create the pipelines that transform raw data into useful formats for analysis.

For doing all this, they need to have a range of skill-sets - from conceptual clarity to hands-on experience with tools, deep understanding of Big Data and Cloud technologies, and an appreciation of business problems and analytics.

"Praxis has been a leader in creating industry-ready resources for Data Science over the last decade. With the incredible increase in the generation of data, the speed of communication and the formulation of new tools and algorithms for analytics, data engineering roles have evolved tremendously over this period. The supply has just not been able to keep pace with the demand; this is why Praxis has again taken the lead to create the nation's first full-time post graduate program in data engineering. We are fortunate to have Genpact and LatentView, with their enormous experience in this field, to support and guide us. This is a great time to be a data engineer, and the Praxis program will ensure that you get all the knowledge and skills you need to become one," said Prof Charanpreet Singh, Founder and Director of Praxis Business Foundation.

"At Genpact, our work with leading enterprises around the world, has taught us that laying a good data foundation requires a few key components, and talent is one of the most critical factors," said Sidharth Reddy, Data and Advanced Analytics Leader, Banking and Capital Markets, Genpact. "Through this partnership, we aim at nurturing a new generation of students who can apply their theoretical knowledge on data engineering, big data management, data governance, data cognition engines and more, to solve real world business challenges."

"In the emerging era, AI will simplify any decision-making. Engineering the right type of data platforms would be a key differentiator! Leading scalable data engineering initiatives will be critical for successful analytics transformation. Praxis is best positioned to offer the best of both worlds (data science & data engineering) and provide the right curriculum to be future-ready!" said Ramesh Hariharan, Co-founder and Director of Data Engineering at LatentView Analytics.

Praxis offers a comprehensive and contemporary curriculum co-developed by Genpact and LatentView Analytics and delivered by domain leaders and senior practitioners. It comprises modules on understanding the legacy tools and technologies for Data Management & Data Modelling as well as on the paradigm of Distributed Systems and Cloud Computing.

Participants will get hands-on exposure on ETL Concepts, Unix/ Linux, Python, Streaming Analytics on Hadoop, MapReduce, SQL & NoSQL using Devops. A highlight of the program is the Capstone project that sees them taking data from a Legacy system and migrating it to a big-data platform hosted on the Cloud. The renowned Praxis Placement Program manages the transition of the students to a successful Data Engineering career.

"The digital era has created a new benchmark for successful orgsation whose reputation today is determined not only on revenue but also on the amount of Data they handle and process. This is where the Data Engineers take the centre stage with the knowledge of the Cloud Computing platforms, tools and techniques for ensuring the assimilation, storage and processing of Big Data. Today, as the human civilization prepares at creating unprecedented value through Artificial Intelligence (AI), the Data Engineers ensure the continuous fuel for AI, i.e. Data. I am excited at the career potential of the Data Engineering graduates coming out of the program and look forward to seeing them contributing to a better future for everyone," said Prof Dr Sourav Saha, Dean - Academics at Praxis Business School.

People who understand tech and like working in tech; enjoy solving problems; are analytical in their approach; like working in collaborative teams; and thrive in positions of responsibility. Engineering, Science, BCA/ MCA graduates will find this an exciting area to work in.

This story is provided by PRNewswire. will not be responsible in any way for the content of this article. (/PRNewswire)

( With inputs from ANI )

Disclaimer: This post has been auto-published from an agency feed without any modifications to the text and has not been reviewed by an editor

Open in app