Big Data & Data Engineering · PPL

Big Data Foundation Certification

Learn the fundamentals of Big Data, distributed computing, data storage, processing frameworks, and modern data engineering concepts.

  • 2 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹3,499.00 Per delegate

This course is accredited by PPL

This is for all ppl accredited courses
2M+ Delegates trained worldwide
15,000+ Corporate clients
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4.8 ★ Average learner rating
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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to Big Data

  • What is Big Data?
  • Characteristics of Big Data
  • Big Data Ecosystem
  • Traditional vs Big Data
  • Industry Applications

Module 2: Data Engineering Fundamentals

  • Data Engineering Overview
  • Data Lifecycle
  • Data Pipelines
  • Structured and Unstructured Data
  • Data Processing Concepts

Module 3: Distributed Computing

  • Distributed Systems
  • Cluster Computing
  • Parallel Processing
  • Scalability Concepts
  • Fault Tolerance

Module 4: Hadoop Fundamentals

  • Hadoop Architecture
  • HDFS Overview
  • MapReduce Basics
  • Hadoop Ecosystem
  • Hadoop Components

Module 5: Apache Spark Fundamentals

  • Apache Spark Overview
  • Spark Architecture
  • Spark Core Concepts
  • Spark SQL
  • Spark Applications

Module 6: Data Storage Technologies

  • Data Lakes
  • Data Warehouses
  • Distributed Storage
  • Cloud Storage
  • Storage Best Practices

Module 7: NoSQL Databases

  • Introduction to NoSQL
  • Key-Value Databases
  • Document Databases
  • Column-Family Databases
  • Graph Databases

Module 8: Data Processing and Analytics

  • Batch Processing
  • Real-Time Processing
  • Data Transformation
  • Data Integration
  • Analytics Fundamentals

Module 9: Cloud for Big Data

  • Cloud Computing Basics
  • Cloud Data Platforms
  • Storage Services
  • Compute Services
  • Cloud-Based Analytics

Module 10: Big Data Security

  • Data Security Fundamentals
  • Access Control
  • Authentication
  • Data Privacy
  • Security Best Practices

Module 11: Data Visualization Basics

  • Data Visualization Concepts
  • Dashboards
  • Reporting
  • Business Insights
  • Visualization Best Practices

Module 12: Big Data Foundation Project

  • Data Collection
  • Data Storage
  • Data Processing Workflow
  • Data Analysis
  • Project Presentation
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand the fundamentals of Big Data and distributed computing.

02

Learn the architecture and components of Hadoop and Apache Spark.

03

Explore data storage technologies including data lakes and NoSQL databases.

04

Understand batch and real-time data processing concepts.

05

Learn cloud computing fundamentals for Big Data platforms.

06

Apply data security and governance best practices.

07

Develop foundational knowledge of data engineering workflows.

08

Build practical understanding of Big Data technologies through hands-on exercises.

— Questions answered

Frequently Asked Questions

Is this course suitable for beginners?
Yes. The course is designed for beginners who want to understand Big Data technologies and build a foundation for careers in data engineering and analytics.
Does the course include practical activities?
Yes. Participants work on hands-on exercises involving Hadoop, Apache Spark, data storage, data processing, and cloud-based Big Data workflows.
What topics are covered in this course?
The course covers Big Data concepts, Hadoop, Apache Spark, distributed computing, NoSQL databases, cloud platforms, data processing, analytics, and data engineering fundamentals.
What skills will I gain?
You will learn Big Data fundamentals, distributed computing concepts, Hadoop, Apache Spark basics, NoSQL databases, cloud data platforms, data processing workflows, and foundational data engineering skills.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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