Big Data Masters Course
Master Big Data technologies including Hadoop, Spark, Kafka, Hive, and HBase. Build real-time data processing pipelines and become a certified Big Data Engineer.
📈 Your Market Value After This Course
Salary ranges are indicative estimates and vary by location, employer, experience, and qualifications. They are not guaranteed earnings or placement outcomes.
Fresher / Entry Level
0-2 years experience
- Junior Big Data Engineer
- Hadoop Developer Trainee
Mid Level
2-5 years experience
- Big Data Engineer
- Spark Developer
Senior / Expert Level
5+ years experience
- Lead Big Data Architect
- Data Engineering Manager
🎯 Job Roles You Can Apply For
⚡ Skills You'll Master
📚 Complete Course Syllabus
Master every aspect with our comprehensive curriculum
Module 1: Introduction to Big Data
- What is Big Data - 5 Vs (Volume, Velocity, Variety, Veracity, Value)
- Traditional vs Big Data Technologies
- Big Data Use Cases & Applications
- Big Data Architecture Overview
- Data Processing - Batch vs Real-time
- Introduction to Hadoop Ecosystem
Module 2: Linux & Python for Big Data
- Linux Basics - Commands, File System, Permissions
- Shell Scripting for Big Data
- Python Basics - Variables, Loops, Functions
- Python Data Structures - Lists, Dictionaries, Sets
- File Handling in Python
- Working with CSV, JSON Data
- Python for Data Processing
Module 3: Hadoop Ecosystem
- Hadoop Architecture Overview
- Hadoop Cluster Setup - Single Node & Multi-node
- Hadoop Configuration Files
- Hadoop Daemons - NameNode, DataNode, ResourceManager
- Hadoop Installation & Setup
- Hadoop Ecosystem Components Overview
Module 4: Hadoop Distributed File System (HDFS)
- HDFS Architecture - NameNode, DataNode, Secondary NameNode
- HDFS Commands - ls, put, get, copy, mv
- HDFS Block Replication & Fault Tolerance
- Data Ingestion into HDFS
- HDFS Web UI Monitoring
- HDFS Permissions & Security
Module 5: MapReduce Framework
- Introduction to MapReduce Framework
- MapReduce Phases - Map, Shuffle, Reduce
- Writing MapReduce Programs in Java
- WordCount Example
- InputFormats & OutputFormats
- Combiner & Partitioner
- MapReduce Optimization Techniques
- YARN Architecture - ResourceManager, NodeManager
Module 6: Apache Hive
- Introduction to Hive - Data Warehouse
- Hive Architecture & Metastore
- HiveQL - Creating Tables, Loading Data
- Partitioning & Bucketing
- Hive Queries - SELECT, JOIN, GROUP BY
- User Defined Functions (UDF)
- Hive vs Traditional Databases
Module 7: Apache HBase
- Introduction to HBase - NoSQL Database
- HBase Architecture - HMaster, RegionServer
- HBase Data Model - RowKey, Column Family
- HBase Shell Commands
- Java API for HBase
- HBase Schema Design
- HBase vs Hive
Module 8: Apache Spark
- Introduction to Apache Spark - Speed & Ease of Use
- Spark Architecture - Driver, Executors, Cluster Manager
- RDD (Resilient Distributed Datasets)
- Spark Transformations & Actions
- Spark DataFrames & Spark SQL
- Spark Streaming - Real-time Data Processing
- Spark MLlib - Machine Learning Library
- PySpark - Python API for Spark
- Spark Optimization Techniques
Module 9: Apache Kafka
- Introduction to Apache Kafka - Distributed Streaming
- Kafka Architecture - Producers, Consumers, Brokers
- Topics, Partitions, Offsets
- Kafka Producer & Consumer APIs
- Kafka Consumer Groups
- Kafka Connect & Kafka Streams
- Integrating Kafka with Spark Streaming
Module 10: Big Data Projects & Capstone
- Project 1: Log Analysis using Hadoop MapReduce
- Project 2: Data Warehousing with Hive
- Project 3: Real-time Data Streaming with Kafka & Spark
- Project 4: Real-time Dashboard with Spark Streaming
- Capstone Project - End-to-End Big Data Pipeline
⭐ Why Choose Viroha Academy?
Explore the learning support and course features listed below.
Expert Trainers
Learn from industry professionals with 12+ years of Big Data experience
Hands-on Projects
Work on 6+ real-time Big Data projects with production datasets
Industry Certification
Get globally recognized Big Data certification
100% Placement Support
Tie-ups with 260+ companies for Big Data roles
Resume Building
Professional resume & portfolio with Big Data projects
Mock Interviews
Regular mock interviews with detailed feedback
💻 Real-Time Projects
Build impressive portfolio with industry-relevant projects
Web Server Log Analysis
Analyze web server logs using Hadoop MapReduce to find most visited pages, user sessions, and error rates.
Real-time Twitter Streaming
Build a real-time Twitter data pipeline using Kafka and Spark Streaming for sentiment analysis.
E-Commerce Data Warehouse
Create a data warehouse solution using Hive for sales analysis, customer segmentation, and inventory management.
🚀 Career Support
Contact Viroha Academy to discuss the career guidance available for this course.
Ask our team about course-specific career preparation and available support.
Contact Viroha AcademyOur Top Hiring Partners
❓ Frequently Asked Questions
Got questions? We've got answers
🚀 Ready to Start Your Big Data Journey?
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