Certified Big Data Foundation Training

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Certified Big Data Foundation Training

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Big Data Foundation certification program equips individuals with a deep understanding of the fundamental principles of big data. With Training Estonia, you’ll learn how to analyze and extract insights from large and complex datasets that cannot be managed by traditional software. Certification covers everything from data capture, storage, analysis, search, sharing, transfer, visualization, querying, updating, information privacy to data sources.

 

Our Big Data certification program ensures that you’re fully prepared to take on the challenges posed by the volume, variety, and velocity of data. With our course, you’ll gain expertise in Big Data Fundamentals, Big Data Sources, Data Mining: Concepts and Tools, and Big Data Technologies. You’ll be able to make informed decisions and drive meaningful outcomes in today’s technology-driven world.

 

Don’t wait any longer to boost your career with big data certification. Trust Training Estonia- the ultimate training center for big data certification in Estonia, Latvia, and Lithuania!

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What is Included

Expert Curated E-Learning

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Practice Exams

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Benefits

  • 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.

Objectives

  • 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.

Audience

  • Software Engineers
  • Application Developers
  • Marketing Experts
  • IT Architects
  • Finance Specialists
  • System Administrators
  • Technical Recruiters
  • Business Analysts
  • Technical Support Specialists

Outline

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

Prerequisites

  • There are no formal prerequisites for the exam, but knowledge of Hadoop and Mongo DB will help to understand the concepts

Exam Details

  • 60-minutes exam.
  • 40-multiple choice questions (MCQ).
  • 26 out of 40-65% is needed to pass.
  • In case the participant does not score the passing percentage, they will be granted a 2nd attempt at no additional cost. Re-examination can be taken up to 30 days from the date of the 1st exam attempt. `

FAQs

1. Who is the intended audience for the GSDC Certified Big Data Foundation?

  • The GSDC Certified Big Data Foundation is ideal for professionals in the IT industry, including data analysts, data engineers, software developers, and database administrators, who wish to learn about big data concepts and technologies.

2.What is the significance of the GSDC Big Data Certification and what advantages does it offer?

  • The GSDC Big Data Certification is a validation of an individual’s expertise in big data technologies, and it offers advantages such as enhanced career prospects and job opportunities.

3.What job opportunities are available for those who hold the GSDC Certified Big Data Foundation?

  • Professionals who have obtained the GSDC Big Data Foundation certification can explore various job opportunities in fields such as data analytics, data engineering, software development, and database administration, among others.

4. Why is the GSDC Certified Big Data Foundation certification important in the industry?

  • The GSDC Certified Big Data Foundation certification is essential in the industry because big data technologies are becoming increasingly crucial in helping organizations extract valuable insights from their data. Professionals who hold this certification can demonstrate their knowledge of big data concepts and technologies, which can help them advance in their careers.

5. How long is the GSDC Big Data Foundation certification valid for?

  • With GSDC certifications, you can rest assured that they will never expire, eliminating the need to renew them or pay any renewal fees.

6. What benefits can organizations gain from having employees with the GSDC Big Data certification?

  • Organizations can benefit from the Big Data Foundation by improving their data management processes, making better decisions, increasing efficiency, and reducing costs. Certified professionals can assist organizations in implementing big data technologies and extracting valuable insights from their data, which can result in significant business advantages.

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About Training Estonia

As an Authorized Training Partner proudly associated with the Global Skills Development Council (GSDC), we at Training Estonia have over 27 years of experience empowering individuals and organizations through customized IT education. 

We get to know each learner, understand their goals, and create tailored training plans that provide cutting-edge skills aligned with the latest technologies. 

With certifications from the globally recognized GSDC and training from experts affiliated with institutions like Harvard, our learners are equipped with future-ready skillsets that allow them to advance their careers and businesses. We invite driven, ambitious learners to get in touch to see firsthand how our strategic approach unlocks their full potential.

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