Bootcamp: Data Engineering & Big Data Technologies

Master large-scale data pipelines, ETL processes, and modern data infrastructure.

14 Weeks
Online / Offline
English & Tamil
Enroll Now

Course Overview

Data is the most valuable asset of the modern enterprise, but raw data is useless without the infrastructure to process it. This rigorous Data Engineering Bootcamp takes you deep into the technologies that power global tech giants. You will build highly scalable ETL pipelines, orchestrate complex workflows with Apache Airflow, process massive datasets using Apache Spark, and master real-time streaming with Kafka. By graduation, you will be equipped to design, build, and maintain enterprise-grade data architectures.

Skills You Will Master

Apache Kafka Apache Spark Snowflake Hadoop Ecosystem ETL Pipelines AWS/Azure Data Services

Course Curriculum

1. Introduction to Data Engineering

  • Data Engineering vs Data Science
  • The Data Lifecycle (Ingestion, Storage, Processing)
  • OLTP vs OLAP Architecture
  • Modern Data Stack Overview

2. SQL & Relational Databases Deep Dive

  • Advanced SQL Queries & Window Functions
  • Database Normalization and Denormalization
  • Indexing and Query Optimization
  • PostgreSQL for Data Engineers

3. NoSQL & Distributed Data Stores

  • Document Stores (MongoDB)
  • Columnar Databases (Cassandra)
  • Key-Value Stores (Redis)
  • Graph Databases overview

4. Data Warehousing & Snowflake

  • Data Warehouse Architecture (Star vs Snowflake Schema)
  • Introduction to Snowflake Cloud Data Platform
  • Virtual Warehouses and Scaling
  • Data Loading and Unloading in Snowflake

5. Big Data Processing with Apache Spark

  • Spark Architecture and RDDs
  • Spark SQL and DataFrames
  • Performance Tuning in Spark
  • PySpark for Data Processing

6. Real-Time Data Streaming with Apache Kafka

  • Kafka Architecture (Topics, Brokers, Partitions)
  • Producers and Consumers in Node/Python
  • Kafka Connect and Streams
  • Real-time processing patterns

7. ETL & Data Pipelines

  • Extract, Transform, Load Principles
  • Building pipelines with Apache Airflow
  • DAGs (Directed Acyclic Graphs)
  • Handling pipeline failures and retries

8. Cloud Data Ecosystems (AWS / Azure)

  • AWS S3, Redshift, and Athena
  • Azure Data Lake & Synapse Analytics
  • Serverless Data Processing
  • Managing permissions and roles

9. Data Governance & Security

  • Data Privacy regulations (GDPR, CCPA)
  • Data Lineage and Cataloging
  • Encryption in transit and at rest
  • Role-based access control (RBAC)

10. Capstone Project: End-to-End Pipeline

  • Ingesting real-time stream data
  • Processing via Spark & orchestrating via Airflow
  • Loading into Snowflake
  • Performance presentation and code review

Local Training Campuses & Placement Drives

Classroom & hybrid batches in Coimbatore & Chennai

Coimbatore • Training

Bootcamp: Data Engineering & Big Data Technologies
Chennai • Training

Bootcamp: Data Engineering & Big Data Technologies

Take the Next Step in Your Career

Join our comprehensive Bootcamp: Data Engineering & Big Data Technologies program and gain real-world skills that employers demand.

Enroll Today Download Syllabus