Everything you want to know about B.Tech in Data Engineering and Informatics

While technology is one of the major drivers of transformation, it is critical that the human elements are on the same level of learning so as to use the said technology to its fullest potential.

What is Data Engineering?
Even before a model is built and the data is cleaned and made ready for exploration, the role of a data scientist begins. Every data-driven business needs to have a framework for the data science pipeline; otherwise, it leads to failure of the set up. Most people enter this field intending to become data scientist, without ever realizing what a data engineer is, or what that role entails. These data engineers are a significant part of any data science project and their demand in the industry is growing exponentially in the current data-rich environment.

Who is a Data Engineer?
Data engineers bridge the gap between software engineering and data science and transforms data into a useful format for analysis.

Let’s take an example; a data scientist wants to analyze Uber and one of its competitor by checking a user’s action history as compared to the competition and see what actions correlate with users who spend more.

In order to enable them to create this, you’ll need to combine information from the server access logs and the app event logs. It is obvious that both Uber and its competition are generating huge amounts of data from their mobile app (from riders and drivers).

For the data scientist to analyze this information, she/he will need the following:

• App analytics logs from user devices regularly
• Combine the app analytics logs with any server log entries that reference the user
• Create an API endpoint that returns the event history of any user

A data engineer will create a pipeline that will read the mobile app logs and server logs in real-time, parse them, and attaches them to a specific user. The parsed logs will then be stored in a database, so they can easily be queried by the API. The pipeline should be an auto scaling one so that it can accommodate a large number of users.

Tasks of a Data Engineer

How will the students benefit from this?

• A Wiley Industry 4.0 certification
• A global B.Tech program with students having a study abroad option* in Semesters 2, 7 and 8 at the University of California Riverside
• The program also awards additional credits for the MicroMasters Program in Statistics and Data Science from MIT, U.S.
• Work on real world challenges that are faced by a data engineer while working on data management, visualization and mining
• Understanding of application of Big Data in organizations across various domains

Course Details

• Students will get a clear understanding of the overall field of data analytics, the role of the analyst and/or data scientist.
• They will gain proficiency in data management, data visualization, data mining, and AI techniques (specifically machine learning) that are essential to the analysis process
• Through the specializations it will equip the students to prepare themselves for the area(s) of analytics in which they hope to contribute.

Career Opportunities
The demand for data engineers is massive and growing as we speak. Speaking in general capacity, the common areas of a data engineer happens to be the finance, automotive, health, retail and telecom sectors.

As per a study by Stitch (read here for more), the following are the probable roles of a data engineer in an organization

Become an expert in Data Engineering and Informatics and get added opportunities to study abroad and get a Wiley Industry 4.0 certification, visit us at https://set.jainuniversity.ac.in/