Data Engineering

825 Ratings

Highly recognized as the best training institute for Data Engineering course

EDUBRIGHTS Institute, rated to be the best institute in online , provides Data Engineering Training with skills and placement support.

Take Your Career to the Next Level with Data Engineering Training ! Learn data governance with industry experts' expert-led training. Get practical skills that will lead to promising career opportunities.

Learn from a growing community of successful learners
Trusted by top hiring companies across industries
Live, interactive sessions led by experienced professionals
Get practical experience in labs and real-world initiatives.
Earn a recognized certification in a short time
Get one-on-one career guidance throughout your journey
Receive support for resume building and interview preparation

Call Course Advisor

₹26000

₹30000

Enroll Now View Syllabus

Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

Popular Techniques Covered in This Course

1.Azure Data Lake Storage and Blob Storage

2.Azure Synapse Analytics

3.Azure Databricks (Apache Spark)

4.Azure Data Factory and Pipeline Orchestration

5.Azure Event Hubs and Stream Analytics

6.Data security and compliance in Azure

7.SQL and data query design

8.Performance tuning and cost management

9.Monitoring and logging with Azure Monitor

10.Data modeling and transformation techniques

Get Hands-on Knowledge about Real-Time Projects

Project 1

1.End-to-End Data Pipeline:

Build a data pipeline that ingests raw data into Azure Data Lake, transforms data using Azure Databricks, then loads processed data into Azure Synapse Analytics for reporting.

Project 2

2.Real-Time Stream Processing Solution:

Implement a solution that captures streaming data via Azure Event Hubs, processes it with Azure Stream Analytics, and triggers alerts via Azure Functions.

Key Features

Edubrights offers Data Engineering Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: Introduction to Data Engineering

What is Data Engineering? Roles vs. Data Science
Data types: Structured, Semi-structured, Unstructured
The Data Lifecycle: Capture → Store → Process → Analyze → Visualize
Big Data characteristics (Volume, Velocity, Variety)
Real-world use cases and career paths

Module 2: Python for Data Engineering

Python fundamentals: variables, data types, operators
Control flow (if/else, loops), functions
Data structures: lists, tuples, dictionaries, sets
Libraries for data manipulation: NumPy, Pandas
Writing scripts for data extraction and cleaning

Module 3: SQL & Relational Databases

SQL fundamentals: SELECT, INSERT, UPDATE, DELETE
JOIN operations (INNER, LEFT, RIGHT, FULL)
WHERE clauses, filtering, aggregation
Database design: normalization, primary/foreign keys
Hands-on with MySQL or PostgreSQL

Module 4: NoSQL Databases

SQL vs. NoSQL: when to use each
MongoDB: document-oriented database
CRUD operations in MongoDB
JSON data format, querying with MongoDB Query Language
Hands-on with MongoDB Compass

Module 5: Big Data Technologies

Introduction to distributed computing
Apache Hadoop ecosystem (HDFS, YARN, MapReduce – high level)
Apache Spark for large-scale data processing
Spark basics: RDDs, DataFrames, Spark SQL
Batch vs. real-time processing

Module 6: Data Warehousing & ETL/ELT

What is a Data Warehouse? vs. Data Lake
ETL/ELT processes and workflows
Dimensional modeling, star/snowflake schemas
Tools: Apache Airflow for workflow orchestration
Building simple ETL pipelines

Module 7: Cloud Platforms for Data Engineering

Cloud benefits for data engineering
Introduction to Microsoft Azure and AWS
Cloud storage, compute, and networking basics
Azure Data Services
Azure Data Factory (ETL/ELT orchestration)
Azure Synapse Analytics (data warehousing)
Azure Blob Storage
Azure Databricks (Spark-based processing)
Azure SQL Database
AWS Data Services
Amazon S3 (object storage)
Amazon Redshift (data warehousing)
AWS Glue (ETL jobs)
Amazon EMR (Hadoop/Spark)

Module 8: Real-Time Data Streaming

Introduction to Apache Kafka
Producers, consumers, topics, partitions
Real-time data ingestion use cases
High-level overview of streaming pipelines
Module 9: Data Visualization
Introduction to Power BI
Connecting Power BI to data sources
Creating reports and interactive dashboards
Sharing insights with stakeholders

Module 10: Advanced Topics (Optional)

Snowflake (cloud data warehouse)
Informatica (enterprise ETL)
Apache Hive (data warehouse on Hadoop)
Machine Learning fundamentals for Data Engineers (supervised/unsupervised)

Module 11: Capstone Project

Build an end-to-end data pipeline:
Extract data from APIs/files
Clean and transform using Python/SQL
Store in SQL/NoSQL or data lake
Orchestrate with Airflow or Data Factory
Visualize insights in Power BI

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain knowledge from experts with practical Data Engineering project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.

Succeed Our Resourceful Certification

Our institution offers a certified Data Engineering program validating your ability to design, build, and maintain complex data solutions. The certification equips you with practical skills in data storage, batch and real-time processing, workflow orchestration, and securing data pipelines—all essential for modern data engineering roles.