Introduction and Foundations of Big Data

4.9(45,580 Ratings)

Duration

5 Days

Upcoming Batch

12 October 2026 - 16 October 2026

Batch Options

4 hours & 8 hours

Language

English/ Arabic

Course Overview

The BigData Foundation certification is a professional credential that recognizes individuals’ fundamental knowledge in big data concepts and technologies. It covers the principles of data mining, analysis, capture, management, and governance. Industries use this certification to validate the expertise of professionals who handle large volumes of complex data, ensuring that they possess a foundational understanding of how to effectively work with big data environments. This certification is crucial for companies seeking to harness the insights big data can provide, aiming to improve decision-making, predictive analysis, and business intelligence. It lays the groundwork for more advanced expertise in data science and analytics roles.

This is a Rare Course and it can take up to 3 weeks to arrange the training.

Learning and Objectives:

– Certified Instructor-led education
– Career enhancement with Big Data proficiency
– Tailored training programs to suit individual needs
– Unique destination training experiences
– Cost-effective learning solutions
– Recognized as a leading training institute
– Adjustable scheduling for convenience
– Online training with real-time instructor interaction
– Extensive selection of courses across technologies
– Officially accredited and approved training partner

Course Prerequisites

– Basic knowledge of computing- Understanding of core data concepts
– Familiarity with database principles
– Elementary programming skills
– Awareness of data analytics importance
– High school mathematics proficiency

Target Audience

- IT professionals seeking to understand big data concepts
- Business analysts aiming to leverage big data insights
- Data enthusiasts wanting a foundational knowledge of big data technologies
- Managers overseeing data-driven projects
- Professionals looking to transition into big data roles

Course Content

5 modules · 51 topics

01Day 1: Big Data: why and where13 topics

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
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
The Key: Integrating Diverse Data
Exercises

02Day 2: Characteristics of Big Data and dimensions of scalability8 topics

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
Exercises

03Day 3: Data sciences: getting values out of Big Data12 topics

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
Exercises

04Day 4: Foundations of Big Data systems and programming5 topics

Getting Started: Why worry about foundations?
What is a Distributed File System?
Scalable Computing over the Internet
Programming Models for Big Data
Exercises

05Day 5: Getting start with Hadoop13 topics

Hadoop: Why, Where and Who?
The Hadoop Ecosystem: Welcome to the zoo!
The Hadoop Distributed File System: A Storage System for Big
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
Copy your data into the Hadoop Distributed File System (HDFS
Run the WordCount program
Exercises
Wrap the course up

Schedule Dates

4 upcoming batches

Session Type

Physical sessions run at our training facility.

Introduction and Foundations of Big Data
Batch Dates	Duration	Batch Options	Language
12 October 2026 - 16 October 2026Next	5 Days	4 hours & 8 hours	English/ Arabic
18 January 2027 - 22 January 2027	5 Days	4 hours & 8 hours	English/ Arabic
19 April 2027 - 23 April 2027	5 Days	4 hours & 8 hours	English/ Arabic
19 July 2027 - 23 July 2027	5 Days	4 hours & 8 hours	English/ Arabic

Can’t find a suitable date? Request a schedule that fits your team.

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FAQs

What is the "Introduction and Foundations of Big Data" course about?

The “Introduction and Foundations of Big Data” course provides a comprehensive overview of Big Data concepts, technologies, and methodologies. It covers the fundamental principles of Big Data, including data generation, storage, processing, and analysis.

What materials are provided in the course?

Participants receive access to course lectures, reading materials, case studies, and hands-on lab exercises. Additional resources such as recommended readings and online tools may also be provided.

How can this course benefit my career?

This course provides foundational knowledge of Big Data, which is increasingly important in today’s data-driven world. Understanding Big Data can open up career opportunities in data analysis, IT, business intelligence, and more.

Can this course help me prepare for advanced Big Data certifications?

Yes, this course provides a strong foundation in Big Data concepts, which is beneficial for those planning to pursue advanced Big Data certifications. It serves as a stepping stone to more specialized and advanced training.

How are real-world examples used in the course?

The course includes case studies and real-world examples to illustrate how Big Data is applied in various industries. These examples help participants understand the practical applications and benefits of Big Data technologies.

Are there any recommended readings or resources for the course?

Yes, the course may recommend additional readings and resources, such as books, research papers, and online articles, to supplement the learning material and provide a deeper understanding of Big Data concepts.

This course includes:

Soft copy of Courseware
Certificate of Course Completion
Experienced and Professional Trainer
Lab and Exercises During Training
Sample Questions for Exam Preparation
Mock Test on the Last Day of Training
Exam Registration Guidance
5-Star Training Environment

Upcoming Batch

12 October 2026 - 16 October 2026

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How We Deliver

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