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📅 4 months

Certificate Courses for Beginners

Duration: 3 Months

Advanced Training in IT Technology

Duration: 6 Months

Practical Based Learning Methodology

Hands-on training with real projects

Internship & Placement Assistance

Support to secure jobs in top companies

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Module-by-Module Learning Path

Master Big Data & Hadoop Like a Pro 💻

Module 1: Introduction to Big Data

What is Big Data? Why it matters?
Challenges & opportunities in Big Data
Big Data vs Traditional Data Processing
Introduction to Hadoop and its Ecosystem

Module 2: Hadoop Architecture & HDFS

HDFS (Hadoop Distributed File System) Overview
Understanding NameNode, DataNode & Blocks
Hadoop Cluster Setup & Configuration
File Read/Write Operations in HDFS

Module 3: MapReduce Programming

Introduction to MapReduce Model
Writing & Executing MapReduce Jobs
Data Partitioning & Shuffling
Performance Optimization Techniques

Module 4: Apache Hive & SQL on Hadoop

Introduction to Apache Hive
Data Warehousing Concepts
Writing Queries in HiveQL
Optimizing Hive Performance

Module 5: Apache Spark & Real-time Analytics

Introduction to Apache Spark
RDDs, DataFrames, and Spark SQL
Real-time Streaming with Spark
Hands-on with PySpark

Module 6: NoSQL Databases & Data Warehousing

Introduction to NoSQL Databases
Working with HBase & Cassandra
Data Modeling for Big Data
Connecting NoSQL with Hadoop & Spark

Module 7: Big Data Project & Job Readiness

Building End-to-End Hadoop Project
Integrating Multiple Hadoop Components
Resume & Interview Preparation
Career Guidance & Job Assistance

💻 Integrating These Technology

Here are some key technologies commonly used in

📊

Big Data Concepts

Understand Volume, Velocity, Variety & real-world use cases of **Big Data**.

🐘

Hadoop & HDFS

Learn HDFS architecture, file storage, and data replication for scalability.

🔄

MapReduce Processing

Implement parallel data processing with MapReduce framework.

🐷

Hive & Pig

Perform SQL-based querying (Hive) and data transformation (Pig).

⚡

Apache Spark

Learn real-time data processing using Apache Spark & PySpark.

🗄️

NoSQL & Databases

Work with MongoDB, Cassandra, and HBase for large-scale data storage.

📈

Real-World Projects

Build Big Data solutions for finance, healthcare, & e-commerce.

Master the Hadoop Ecosystem

In-depth training on HDFS, YARN, and MapReduce
Hands-on experience with Hive, HBase, and NoSQL
Data warehousing with Apache Hive & Impala
Implement scalable ETL workflows

Real-World Big Data Projects

Process terabytes of data in Hadoop clusters
Projects using Apache Spark
Build scalable real-time data pipelines by Big Data
Implement Kafka & Flink for streaming analytics

Live Expert-Led Training

Learn from top Big Data professionals
Live Q&A sessions & doubt resolution in this course
Interactive lab & project mentoring for you
Hands-on experience with industry-leading Big Data tools & technologies

Career & Certification Support

Resume & LinkedIn Profile Optimization
Mock interviews with industry experts
Get recognized Hadoop & Spark Certification
Personalized career guidance & job placement assistance

Big Data Hadoop Certification Course