In this course you’ll learn about a Data Engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization.
Duration 6 months
Top subjects you will learn : AWS, Spark, Cassandra, Kafka, Python, Hadoop, NIFI, Airflow, Flume
Job Opportunities : Data Engineer, Big Data Consultant, Data Analyst, ETL Developer, Big Data Developer
This course is designed for whom? Engineers, Freshers, Domain Experts, Software & IT Professionals
Eligibility criteria: Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Live Session
Industry Project
Expert Coaching session
Programming tools / Language
~ Tim Berners-Lee
All eligible candidates will receive placement assistance for 6 months after every program completion.
Candidates take up application based hands-on capstone projects to apply their learning to real-life business problems.
We give free career counselling that you don’t want to miss. Speak with our Advisor to learn more about the courses.
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In 2019, the average salary for data engineers overtook data scientists. How did this happen? Companies wanting to find the gold within their data realized it wasn’t possible if they hadn’t yet built the mine. Data engineers lay the foundations that make data science possible.
The key to understanding what data engineering lies in the “engineering” part. Engineers design and build things. “Data” engineers design and build pipelines that transform and transport data into a format wherein, by the time it reaches the Data Scientists or other end users, it is in a highly usable state. These pipelines must take data from many disparate sources and collect them into a single warehouse that represents the data uniformly as a single source of truth.
In this course, of “PG PROGRAM IN DATA ENGINEERING AND DATA ANALYTICS” you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization.
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