DATA ENGINEERING

Our Online Data Engineering Program contains the perfect mix of theory, case studies, and extensive hands-on assignments to even turn a beginner into a pro by the end. Our Data Engineering Internship Program is perfect for students and working professionals to get mentored directly by industry experts, build your practical knowledge, receive complete career coaching, and become a certified engineer.

Get all the knowledge and skills to dive deep into the Data to discover and unlock data insights, we will provide all the means to unlock your potential.

syllabus

training week 1 :- Data ENGINEERING

Introduction to Data Engineering
Different Products of Power BI
Python Projects Assignments
Power Query - Introduction
Import data into Power Query
Assignments

training week 2:- DATA ENGINEERING

Python for Data Engineering
RDBMS
Projects
Assignments

training week 3 :- DATA ENGINEERING

NOSQL
Big Data Engineering
Assignment
Quiz

training week 4 :- DATA ENGINEERING

Internship Project 1 - 2
Internship Project 3 - 4
Report Writing
GitHub
Technical Interview Questions
Quiz 2
Assignment
Quiz 3

training week 5 :- DATA ENGINEERING

Resume Building
Technical Mock Interview
LinkedIn
HR Mock Interview
Task Submission

TOPICS TO BE COVERED

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Q1. What is the concept of Data ENGINEERING?

Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale.

Q2. Data Engineering Tools?

Apache Hadoop
Relational and non-relational databases
Apache Spark
Python
Julia

Q3. What is Hadoop??

Hadoop is an open-source framework, which is used for data manipulation and data storage, as well as for running applications on units called clusters. Hadoop has been the gold standard of the day when it comes to working with and handling Big Data.

The main advantage is the easy provision of the huge amounts of space needed for data storage and a vast amount of processing power to handle limitless jobs and tasks concurrently.

Q4. Responsibilities of a Data Engineer?

Data Engineers maintain the data infrastructure to support business applications. As part of their responsibilities, they fuel Artificial Intelligence analytics and the Machine Learning process.

Various positions held by a Data Engineer are listed below:

Data Architect
Data Engineers
Database Administrators

Q5. Data engineer vs Data scientist?

The data engineer is someone who develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems. The data scientist, on the other hand, is someone who cleans, massages, and organizes (big) data.

DATA ENGINEERING

syllabus

TOPICS TO BE COVERED

Download brochure

STILL CONFUSED ?

STILL CONFUSED ?

TCR INNOVATION

DATA ENGINEERING

syllabus

TOPICS TO BE COVERED

Download brochure

STILL CONFUSED ?

STILL CONFUSED ?

TCR INNOVATION

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