Introduction to Big Data Training

Live Online & Classroom Enterprise Training

Introduction to Big Data covers the fundamentals of handling large, complex datasets that traditional systems cannot process efficiently. It includes concepts like data storage, processing frameworks (Hadoop, Spark), and real-time analytics.

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What is Introduction to Big Data Training about?

The Big Data course introduces learners to the principles, technologies, and applications of large scale data processing. Participants will explore the 5 Vs of Big Data (Volume, Velocity, Variety, Veracity, and Value) and understand how businesses harness data for analytics, machine learning, and digital transformation. The course covers distributed computing frameworks like Hadoop and Spark, modern data platforms, and case studies across industries. By the end, learners will gain a strong foundation to start a career in data engineering, analytics, or data science.

What are the objectives of Introduction to Big Data Training ?

Understand Big Data concepts and characteristics (5 Vs).
Explore Big Data tools and technologies such as Hadoop, Spark, and cloud platforms.
Learn about distributed storage and processing.
Recognize real-world Big Data applications across industries.
Identify career paths and skill sets in Big Data.

Who is Introduction to Big Data Training for?

Students and beginners exploring data careers.
Business professionals seeking to understand Big Data’s impact.
Data analysts expanding into large-scale analytics.
IT professionals transitioning into data engineering roles.
Anyone curious about modern data-driven innovation.

What are the prerequisites for Introduction to Big Data Training?

Prerequisites:

Basic computer and internet skills.
Familiarity with databases or analytics concepts (recommended, not mandatory).
Curiosity about data technologies and problem-solving.
No prior coding experience required (optional SQL/Python helps).
Willingness to learn data processing fundamentals.

Learning Path:

Introduction to Big Data and its Importance
Big Data Ecosystem: Hadoop, Spark, and Cloud Platforms
Distributed Storage and Processing Concepts
Big Data Analytics and Visualization
Future Trends and Career Opportunities in Big Data

Related Courses:

Introduction to Data Science
Data Warehousing and BI Analytics
Apache Spark Fundamentals
Processing Big Data with Hadoop

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1- Introduction

Welcome to the Big Data Specialization

Tell us about yourself and learn about your classmates

Module 2- Big Data: Why and Where

What launched the Big Data era?

Applications: What makes big data valuable

Example: Saving lives with Big Data

Example: Using Big Data to Help Patients

A Sentiment Analysis Success Story: Meltwater helping Danone

Getting Started: Where Does Big Data Come From?

Machine-Generated Data: It's Everywhere and There's a Lot!

Machine-Generated Data: Advantages

Big Data Generated By People: The Unstructured Challenge

Big Data Generated By People: How Is It Being Used?

Organization-Generated Data: Structured but often siloed

Organization-Generated Data: Benefits Come From Combining With Other Data Types

Integrating Diverse Data

Module 3- Characteristics of Big Data and Dimensions of Scalability

Getting Started: Characteristics Of Big Data

Characteristics of Big Data - Volume

Characteristics of Big Data - Variety

Characteristics of Big Data - Velocity

Characteristics of Big Data - Veracity

Characteristics of Big Data - Valence

The Sixth V: Value

Module 4- Data Science: Getting Value out of Big Data

Data Science: Getting Value out of Big Data

Building a Big Data Strategy

How does big data science happen?: Five Components of Data Science

Asking the Right Questions

Steps in the Data Science Process

Step 1: Acquiring Data

Step 2-A: Exploring Data

Step 2-B: Pre-Processing Data

Step 3: Analyzing Data

Step 4: Communicating Results

Step 5: Turning Insights into Action

Module 5- Foundations for Big Data Systems and Programming

Getting Started: Why worry about foundations?

What is a Distributed File System?

Scalable Computing over the Internet

Programming Models for Big Data

Module 6- Getting Started with Hadoop

Hadoop: Why, Where and Who?

The Hadoop Ecosystem: Welcome to the zoo!

The Hadoop Distributed File System: A Storage System for Big Data

YARN: A Resource Manager for Hadoop

MapReduce: Simple Programming for Big Results

When to Reconsider Hadoop?

Cloud Computing: An Important Big Data Enabler

Cloud Service Models: An Exploration of Choices

Value From Hadoop and Pre-built Hadoop Images

Starting Hadoop

Run the WordCount program

Who is the instructor for this training?

The trainer for this Introduction to Big Data Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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