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Certificate in Big Data Analytics (Hadoop)

Certificate in Big Data Analytics (Hadoop)

Original price was: ₹5,000.0.Current price is: ₹2,500.0.

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Description

Here’s a structured course detail for a Certificate in Big Data Analytics (Hadoop) program:

Certificate in Big Data Analytics (Hadoop)

*(Duration: 3-6 Months | Mode: Online/Classroom/Blended)*

Course Overview

This certification program provides hands-on training in Big Data Analytics using Hadoop and related tools. Participants will learn to process, analyze, and derive insights from large datasets using Hadoop ecosystem technologies like HDFS, MapReduce, Hive, Pig, Spark, and more.

Key Learning Outcomes

  • Understand Big Data concepts, challenges, and Hadoop architecture.

  • Gain expertise in Hadoop Distributed File System (HDFS) and MapReduce.

  • Learn data processing using Hive, Pig, and Spark.

  • Perform real-time analytics with Spark Streaming & Kafka.

  • Work with NoSQL databases (HBase, MongoDB).

  • Implement data ingestion tools (Flume, Sqoop).

  • Develop data pipelines and analytical models.

Course Modules

1. Introduction to Big Data & Hadoop

  • Big Data characteristics (Volume, Velocity, Variety, Veracity)

  • Hadoop architecture (HDFS, YARN, MapReduce)

  • Hadoop cluster setup (Single Node & Multi-Node)

2. Hadoop Ecosystem & Data Processing

  • HDFS (File storage & management)

  • MapReduce (Parallel processing framework)

  • YARN (Resource management)

3. Data Querying & Analysis with Hive & Pig

  • Apache Hive (Data warehousing & SQL-like queries)

  • Apache Pig (ETL processing using Pig Latin)

4. Spark for Big Data Processing

  • Apache Spark (In-memory processing)

  • Spark SQL, MLlib, GraphX

  • Spark Streaming (Real-time analytics)

5. NoSQL Databases

  • HBase (Columnar database)

  • MongoDB (Document-based database)

6. Data Ingestion & Integration

  • Apache Sqoop (RDBMS ↔ Hadoop data transfer)

  • Apache Flume (Log data ingestion)

  • Kafka (Real-time data streaming)

7. Big Data Analytics & Visualization

  • Machine Learning with Mahout/Spark MLlib

  • Data Visualization using Tableau/Power BI

8. Capstone Project

  • Real-world Big Data Analytics project using Hadoop ecosystem tools.

Who Should Enroll?

  • IT professionals looking to upskill in Big Data

  • Data Analysts, Software Engineers, Database Admins

  • Business Analysts & BI Professionals

  • Students pursuing careers in Data Science & Analytics

Prerequisites

  • Basic knowledge of SQL & Programming (Python/Java)

  • Familiarity with Linux commands (recommended)

Certification

  • Upon completion, participants receive a Certificate in Big Data Analytics (Hadoop).

  • Industry-recognized for roles like Hadoop Developer, Big Data Engineer, Data Analyst.

Training Tools & Technologies

  • Hadoop, HDFS, MapReduce, YARN

  • Hive, Pig, Spark, HBase, Kafka

  • Cloudera/Hortonworks (for hands-on labs)

Career Opportunities

  • Big Data Engineer

  • Hadoop Developer

  • Data Analyst (Big Data)

  • Spark Specialist

  • Cloud Data Architect (AWS/Google Cloud)

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