Certified Big Data Foundation
The Big Data Foundation Certification program is globally designed to enhance data management capabilities, strengthen big data analytics knowledge, and support data-driven decision-making across organizations.
Learn directly from global data practitioners, big data experts, and industry leaders who are shaping the future of big data technologies and advanced data analytics.
What Sets Our Program Apart?
- Globally Recognized Certification with Self-Paced Learning
- E-Learning Library Access, Ebook
- LinkedIn Enhancer & Professional Resume Builder
- Capstone Projects
- Generative AI Interview Practice Platform
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About Big Data Foundation Certification
Objectives of Big Data Foundation Certification
- Gain a solid grasp of the core concepts of big data.
- Extract valuable insights from vast datasets.
- Effectively handle diverse and complex data sources.
- Proficiently apply data mining techniques and tools.
- Implement and leverage advanced big data technologies.
- Make informed decisions through data analysis.
- Drive meaningful outcomes in a technology-driven society.
Benefits of Certified Big Data Foundation
- Understand the fundamental principles and architecture of big data systems.
- Develop skills to design strategies for managing large and complex datasets.
- Learn to identify relevant big data sources for diverse business needs.
- Gain practical experience in employing data mining concepts and tools.
- Build proficiency in applying big data technologies to solve real-world problems.
- Master the ability to evaluate and implement scalable solutions for data challenges.
- Acquire the knowledge to establish data-driven decision-making frameworks.
Exam Syllabus of Big Data Foundation Certification
1 Big Data Introduction:+
•Big Data - History, Overview, and Characteristics
•Definition
•Benefits
•Characteristics
2 Big Data Technology - Overview:+
•Hadoop - Introduction, Usage, Concepts
•MongoDB - Introduction, Features, Concepts
3 Big Data - Privacy & Ethics:+
•Privacy - Compliance
•Privacy - Challenges
•Privacy - Approach
•Ethics
4 Sources for Big Data:+
•Enterprise Data Sources
•Enterprise Systems
•Oracle
•SAP
•Microsoft
•Data Warehouses
•Unstructured Data
•Metadata
5 Social Media Data Sources:+
•Introduction
•Facebook - Introduction, Public Feed API, Keyword Insights API, Graph API
•Twitter - Introduction, Streaming APIs, REST APIs
•Other Social Media Sources
6 Public Data Sources:+
•Introduction
•Weather
•Economics
•Finance
•Regulatory Bodies
7 Data Mining - Concepts and Tools:+
•Data Mining - Introduction
•Types of Data Mining - Overview
•Classification
•Association
•Clustering
•Weka
•Modules of Weka Applications
•KNIME
•R Language
8 Big Data Technologies - Hadoop:+
•Introduction
•Main Components of Hadoop
•Additional Components of Hadoop
•How to Install and Configure
•Map Reduce
9 Data Processing with Hadoop:+
•Introduction
•Twitter Sentiment Analysis - Overview & Algorithm
•Network Log Analysis - Overview & Algorithm
10 Big Data Technologies - MongoDB:+
•MongoDB Fundamentals
•Install & Configure
•Introduction
•Replication
•Sharding
•Sharding and Replication
•MongoDB Ecosystem - Languages and Drivers
•MongoDB Ecosystem - Hadoop Integration
•MongoDB Ecosystem - Tools
11 Document Databases:+
•Introduction
•Documents
•Document Design Considerations
•Fields
12 Data Modelling with Document Databases:+
•Introduction
•Twitter Sentiment Analysis with Algorithm
•Network Log Analysis with Algorithm
Learn from Experts
Learn from experienced practitioners and industry leaders who bring real-world expertise and practical insights to the program.
Antonio Grasso
INTEL CORPORATION , SIEMENS AG
INTEL SOFTWARE INNOVATOR, SIEMENS AG INFLUENCER
Shameer Thaha
ACCUBITS (MENA)
CEO
Harinder Seera
OZPERF
CHIEF OPERATING OFFICER
Enrollment Options
Single Access
Gain full access to our complete resource library and earn a globally recognized certification.
1 Certificate Programs
Bundle Access
Unlock exclusive bundle savings on premium resources and earn globally recognized credentials.
3 Certificate Programs
For Teams
Enable teams with GSDC certification pathways and customized learning journeys aligned with business priorities.
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Target Audience For Big Data Foundation Certification
Pre-Requisites For Big Data Foundation Certification
There are no formal prerequisites for the exam, but knowledge of Hadoop and Mongo DB will help to understand the concepts
Exam Details Of Big Data Certification
Exam Questions
40
Exam Format
Multiple choice
Language
English
Passing Score
65%
Duration
90 min
Open Book
No
Certification Validity
5 Years
Complimentary Retake
Yes
Sample Certification
About Big Data Foundation Certification
The GSDC Certified Big Data Foundation is an extensive certification that equips individuals with a deep understanding of the fundamental principles of big data.In today's data-driven world, where information is expanding exponentially, this certification plays a crucial role in enabling professionals to analyze and extract insights from large and complex datasets that cannot be managed by traditional software.
The certification covers a wide range of topics, including data capture, storage, analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data sources.
By obtaining Big Data certification, candidates gain expertise in Big Data Fundamentals, Big Data Sources, Data Mining: Concepts and Tools, and Big Data Technologies.
Big Data certification ensures that professionals are well-prepared to tackle the challenges posed by the volume, variety, and velocity of data, allowing them to make informed decisions and drive meaningful outcomes in today's technology-driven world.
