Master Big Data & Hadoop for Scalable Data Processing
Learn how to handle and process massive datasets using Hadoop and its ecosystem. This course is ideal for aspiring data engineers and analysts looking to build scalable data solutions in real-world projects.
- Introduction to Big Data and Hadoop Architecture
- HDFS (Hadoop Distributed File System) & MapReduce Programming
- Hands-on with Hive, Pig, Sqoop & HBase
- Real-time Data Ingestion using Flume and Kafka
- Project: Analyzing Big Data Logs & E-commerce Transactions
Next Batch
Starting 1st of Next Month
Duration
3 Months
Batch Size
Limited to 25 Students
Plan Your Career with Us
Our advisors will help you choose the right skills and roadmap.
Course Features
A comprehensive training program to make you an expert in the Big Data technology stack.
Course Curriculum
Our curriculum is designed to provide a deep dive into the Big Data ecosystem, from Hadoop fundamentals to advanced processing with Spark.
Big Data & Hadoop Intro
- Understanding Big Data (3Vs)
- Hadoop Architecture (HDFS & YARN)
- Setting up Hadoop Cluster
- HDFS Commands & Operations
MapReduce & Hive
- MapReduce Programming Model
- Writing MapReduce Jobs in Java
- Introduction to Apache Hive
- Querying Data with HiveQL
Apache Spark
- Spark Core Concepts (RDDs)
- Spark SQL & DataFrames
- Spark Streaming for Real-time Data
- Spark MLlib for Machine Learning
Big Data Ecosystem & Project
- Data Ingestion with Sqoop & Flume
- NoSQL Databases (HBase)
- Workflow Scheduling with Oozie
- End-to-End Big Data Project
Why Learn Big Data & Hadoop?
Big Data has revolutionized industries by enabling businesses to process and analyze vast volumes of information. This course provides a deep understanding of the Big Data ecosystem, focusing on Hadoop and Spark. You'll learn how to handle petabytes of data, perform large-scale data processing, and build a foundation for a career as a Big Data Engineer or Data Scientist.
Master the Hadoop Ecosystem
Gain hands-on experience with core Hadoop components like HDFS for distributed storage, MapReduce for processing, and other tools like Hive and Pig.
Leverage the Power of Apache Spark
Learn to use Spark for faster, in-memory data processing. Understand RDDs, DataFrames, and Spark SQL to perform complex analytics and machine learning tasks.
High-Demand Big Data Careers
Big Data skills are in extremely high demand. This course prepares you for lucrative roles like Big Data Engineer, Data Architect, and Hadoop Developer.
Why Learn Big Data & Hadoop?
