Intro to Big Data Hadoop Training

Master the skills of Hadoop framework and Big Data tools.

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12000+

Trained

20+

Data Scientist

4.6

rating

Overview

In this 24-hours course, gain an in-depth understanding of Big Data framework using Hadoop and Spark. Explore the tools and methodologies that prepare you for your career as a Big Data Developer.

In Hadoop training, learn to execute empirical industry-based projects using Integrated Lab. Hadoop gives your business strategies an edge with the efficiency to handle Big Data. Today, more and more analysts are using Hadoop in everyday tasks to induce learning and stay at the top of the game.

  • Understand key technologies involved in Big Data space and Spark Ecosystem
  • Understand basics of Hadoop and operate data analysis with Hive
  • Acquire the knowledge of Spark Fundamentals, Spark vs MR and Spark Core
  • Learn how to do batch data processing using Spark SQL with Python
  • Learn stream processing using Spark Streaming with Python
  • Understand how to integrate BI tools with Big Data platform to do data analytics
  • Experience some of the technologies in action with hands-on and real time use cases

Key Features of the course

26 hours of Interactive Learning

Learn from our experts who are also industry experts

Intermediate Level

Easy to learn course with flexible training methods

Increased Hireability

Boost your career by getting hired by top companies

Relevant Study Material

Get relevant study material designed by industry experts

Extensive Learning

Learn better with case studies, activities and quizzes

Comprehensive Learning

Learn the principles of Big Data & Hadoop from the scratch

Curriculum

Topics Covered

  • Day 1 - Module-1: Introduction to BigData and Hadoop
    • Evolution of Distributed Systems
    • BigData Overview
    • BigData Use Cases
    • Hadoop Overview
    • HDFS Overview
    • MapReduce Overview
    • YARN Overview
  • Module-2: Introduction to Hive
    • Introduction to Hive
    • Overview of Hive2
    • Hive Architecture
    • Hive Components
    • Hive Metastore
    • Hive Data Types
    • Hive Data Models
  • Module-3: Data Analysis with Hive
    • Hive Managed Tables
    • External Tables
    • Partitioned Tables
    • Clustered Tables
    • SELECT,FILTERING, JOINS, GROUPING, AGGREGATION
    • Data Analysis with Hive
  • Day 2 - Module-4: Introduction to Spark
    • Spark Overview
    • MR vs Spark
    • Spark Modes of Operation
    • Spark Fundamentals, Architecture, Components
    • Spark on YARN
    • Spark Context
    • Job server
    • Spark Programming with Python
    • PySpark shell
  • Module-5: Introduction to Spark Core
    • RDD: The foundation of Spark
    • Creating RDDs from different types of files
    • Creating RDDs from another RDDs
    • RDD operations, Actions and Transformations
    • Different Types of RDDs
    • Joins using RDD
    • RDD Persistence and RDD Partitioning
    • RDD Lineage and DAG
    • Broadcast variables and Accumulators
    • Connecting to Different Sources with Spark
    • Spark programming with PySpark
  • Day 3 - Module-6: Introduction to Spark SQL
    • Spark SQL - Structured Data Processing
    • SQL Context
    • Data Frames in Detail
    • Creating Data Frames
    • Transformations and Actions on Data Frames
    • Various Spark SQL Operations
    • Working with different Data Sources
    • Developing Spark SQL (Data Frames) Applications with PySpark
    • Spark SQL integration with Hive
  • Module-7: Introduction to Spark Streaming
    • Spark Streaming - Real time Data Processing
    • Spark vs Storm
    • Dstreams and Micro Batch
    • Windowing Concept
    • Dstreams Actions and Transformations
    • Window Level Actions and Transformations
    • Structured Streaming API
    • Dstreams vs Structured Streaming
    • Stream Processing with Structured Streaming using DataFrames
    • Developing Spark Streaming (Dstreams) Applications with PySpark
  • Module-8: Big Data Lake integration with BI Tools
    • BI tools overview
    • Hadoop/Hive integration with BI tools
    • Spark integration with BI tools
    • Perform data analysis and visualize KPIs using BI tools

Prerequisite

In order to attend the course, one must have:

  • Some awareness of Big Data and Hadoop framework
  • Knowledge of Python programming
  • Good grasp of Unix commands and SQL

What does Xebia provide differently?

Step into the realm of learning for an all-inclusive growth. Xebia is a pioneering IT consultancy and service provider that aims at Enterprise Development, Agile Development, DevOps, and Outsourcing Services.

World-class Training

World-class Training

Xebia Academy offers an intensive learning program and industry-specific training courses. It’s a globally acclaimed APMG International Partner for Big Data & Data Science training and certification courses. ReadmoreReadless

Boon To Career

Boon To Career

Xebia offers excellent consultancy, innovative tools, and continuous career growth. We will train you to become a Big Data and Data Science expert. ReadmoreReadless

Expert Advantage

Expert Advantage

Get trained by our In-House Data Science experts with an average of 18 years of experience: Data Science and Big Data Experts with extensive knowledge of data and AI. ReadmoreReadless

Flexible Learning

Flexible Learning

Pick the right course: You can choose a public class at our training centre, or learn with your colleagues in a customized, in-company training program, facilitated on-site at your location, anywhere in the world. ReadmoreReadless

Global Experience

Global Experience

18 years of professional training experience and trusted by over 1,00,000 professionals worldwide. Xebia Academy is the largest producer of Big Data and Data Science certifications globally. ReadmoreReadless

Global Experience

Hands-on And Practical Learning Experience

Our trainers are hands-on Data Science practitioners and provide interactive training sessions which let students master required skills in real-world scenarios, giving them an edge in the industry. ReadmoreReadless

Certification Process

  • 01

    Enroll for Intro to Big Data & Hadoop course

  • 02

    Attend the training

  • 03

    Get certified as a Data Analyst

Industry Connect

Who should attend this course?

  • Big Data Developers

  • Enterprise Warehouse Professionals

  • QA Professionals

  • Data Architects

  • Data Scientists

  • Developers

  • Data Analysts

  • BI Analysts

  • BI Developers

  • SAS Developers

  • Consultants

  • Java Software Engineers

What skills will you learn in the course?

Fundamentals

Understand the crux of Big Data Analytics with its advanced concepts and tools

Data Extraction

You’ll learn to process large data sets through Big Data tools to extract information

MapReduce

You’ll learn to write MapReduce code and its fundamentals, along with Hadoop Distributed File System (HDFS) and YARN

Debugging Techniques

Explore the relevant and effective practices for Hadoop Development

Frameworks

You’ll learn how to use Hadoop Frameworks like ApachePig™, ApacheHive™, Sqoop, Flume etc.

Practical Analytics

You’ll learn to execute empirical analytics by learning advanced Hadoop API topics.

Why should you attend this course?

Big Data Hadoop is adapted by enterprises all across industries and the future is very bright for Hadoop professionals. Manifest the right recruiters with the certification and land up in best jobs.

With less competition in the market, Hadoop certification increases your chances of grabbing highly coveted roles and propels your career.

  • Get noticed by industry giants
  • Earn more annually
  • Get eligible for different industries like E-commerce, retail, healthcare, finance, banking, etc.
  • More accessible and fruitful than a college degree

Program Visual Library

FAQs

Hadoop is not very difficult to learn even though it has abstract frameworks like Hive and pig. To begin learning this course, you must know the basics of java to write user-defined functions and MapReduce applications.

If you qualify the required prerequisites of this course, then definitely the intensity of this course is easy and flexible.

A Hadoop developer on an average makes about INR 8-8.9 Lacs annually in India.

The key differences between the two are: Accessibility, Storage, Significance, Definition, Developers and Type.

By the end of the course, you’ll understand:

  • The Fundamentals of Big Data and its tools
  • Data Extraction through Big Data
  • MapReduce – writing and basics
  • Debugging Techniques
  • Hadoop Frameworks like ApachePig™, ApacheHive™, Sqoop, Flume
  • Real-world Analytics

No, the certification is included in the course fee.

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