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The Big Data Foundation certification (BDF) is designed to provide you with hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB. You will get the opportunity to practice installing these two technologies through lab exercises. The exercises expose you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitter.

This Big Data Foundation Certification training course is designed to provide candidates with a well-rounded understanding of big data. It covers the potential data sources that can be used for solving real business problems and an overview of data mining and the tools used in it.  

This is a fundamental course with practical, hands-on, exercises to experience using two of the most popular technologies in big data processing – Hadoop and MongoDB. Candidates will get the opportunity to practice installing these two technologies through lab exercises. The course exposes candidates to real-life big data technologies with the purpose of obtaining results from real datasets, including major social media platforms.

After completing the course, candidates will be equipped with fundamental big data knowledge, and introduced to a working development environment containing Hadoop and MongoDB, installed by them. This practical knowledge can be used as a starting point in the journey into big data.

 

Learning Objectives:

  •     Explain Big Data, its origin, and its characteristics.
  •     Discuss about the tools applicable to Big Data processing.
  •     Explain data mining.
  •     Discuss the popular Big Data technologies – Hadoop and MongoDB.
  •     Discuss the Big Data projects and the main players involved.
  •     Identify and obtain relevant datasets when looking at a business problem.
  •     Install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental level.


Did you know…

In June 2018, cio.com listed the Cloud Credential Council certifications as one of the most valuable Cloud certifications in the market today (report available on these links einpresswire and cio.com).  A core value of the CCC is to enable digital-ready professionals and organisations.

GuruTeam is Ireland’s CCC Accredited Training Partner, offering public and private instructor-led courses in Ireland, UK and Europe.

Big Data Foundation Certification

Course Code

GTBD4

Duration

2 Days

Course Fee

POA

Accreditation

CCC Big Data Foundation Certification

 

Successfully passing (65%) the 75-minute exam, consisting of 25 multiple-choice questions, leads to the Big Data Foundation Certification from the Cloud Credential Council (CCC)

Target Audience

This course is best suited to IT professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of big data. These include:

  • Software Engineers
  • Application Developers
  • IT Architects
  • System Administrators
  • Data Analysts and Scientists

 

Attendee Requirements

  • There are no formal prerequisites for this course.

We are sorry, there is currently no availability on this course.

contact us for more information

Ways to Attend this Course

  • In the Classroom
  • Private Training

Expand all

Course Description

The Big Data Foundation certification (BDF) is designed to provide you with hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB. You will get the opportunity to practice installing these two technologies through lab exercises. The exercises expose you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitter.

This Big Data Foundation Certification training course is designed to provide candidates with a well-rounded understanding of big data. It covers the potential data sources that can be used for solving real business problems and an overview of data mining and the tools used in it.  

This is a fundamental course with practical, hands-on, exercises to experience using two of the most popular technologies in big data processing – Hadoop and MongoDB. Candidates will get the opportunity to practice installing these two technologies through lab exercises. The course exposes candidates to real-life big data technologies with the purpose of obtaining results from real datasets, including major social media platforms.

After completing the course, candidates will be equipped with fundamental big data knowledge, and introduced to a working development environment containing Hadoop and MongoDB, installed by them. This practical knowledge can be used as a starting point in the journey into big data.

 

Learning Objectives:

  •     Explain Big Data, its origin, and its characteristics.
  •     Discuss about the tools applicable to Big Data processing.
  •     Explain data mining.
  •     Discuss the popular Big Data technologies – Hadoop and MongoDB.
  •     Discuss the Big Data projects and the main players involved.
  •     Identify and obtain relevant datasets when looking at a business problem.
  •     Install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental level.


Did you know…

In June 2018, cio.com listed the Cloud Credential Council certifications as one of the most valuable Cloud certifications in the market today (report available on these links einpresswire and cio.com).  A core value of the CCC is to enable digital-ready professionals and organisations.

GuruTeam is Ireland’s CCC Accredited Training Partner, offering public and private instructor-led courses in Ireland, UK and Europe.

Course Outline

Module 1. Big Data Fundamentals
1.1 Big Data – History, Overview, and Characteristics

  • History
  • Big Data Definition
  • Big Data Benefits
  • Big Data Characteristics – Volume, Velocity & Variety

1.2 Big Data Technologies – Overview
1.3 Big Data Success Stories
1.4 Big Data – Privacy and Ethics

  • Privacy – Compliance
  • Privacy – Challenges
  • Privacy – Approach
  • Ethics

1.5 Big Data Projects

  • Who Should Be Involved?
  • What Is Involved?

Module 2. Big Data Sources
2.1 Enterprise Data Sources

  • Enterprise Systems
  • Oracle
  • SAP
  • Microsoft
  • Data Warehouses
  • Unstructured Data – Introduction
  • Unstructured Data – Metadata

2.2 Social Media Data Sources

  • Introduction
  • Facebook – Introduction
  • Facebook – Public Feed API
  • Facebook – Keyword Insights API
  • Facebook – Graph API
  • Twitter – Introduction
  • Twitter – Streaming APIs
  • Twitter – REST APIs
  • Other Social Media

2.3 Public Data Sources

  • Introduction
  • Weather
  • Economics
  • Finance
  • Regulatory Bodies

Module 3. Data Mining – Concepts and Tools
3.1 Data Mining – Introduction

  • Introduction
  • Types of Data Mining – Overview
  • Types of Data Mining – Classification
  • Types of Data Mining – Association
  • Types of Data Mining – Clustering

3.2 Data Mining – Tools

  • Introduction
  • Weka
  • Modules of Weka Applications
  • KNIME
  • KNIME – Example
  • R Language

Module 4. Big Data Technologies – Hadoop
4.1 Hadoop Fundamentals

  • Introduction
  • Main Components of Hadoop
  • Additional Components of Hadoop

4.2 Install and Configure

  • Download
  • How to Install and Configure

4.3 MapReduce

  • Introduction
  • How Does It Work?

4.4 Data Processing with Hadoop

  • Introduction
  • Twitter Sentiment Analysis – Overview
  • Twitter Sentiment Analysis – Algorithm
  • Network Log Analysis – Overview
  • Network Log Analysis – Algorithm

Module 5. Big Data Technologies – MongoDB
5.1 MongoDB Fundamentals

  • Introduction
  • Replication
  • Sharding
  • Sharding and Replication
  • MongoDB Ecosystem – Languages and Drivers
  • MongoDB Ecosystem – Hadoop Integration
  • MongoDB Ecosystem – Tools

5.2 Install and Configure

  • Download
  • How to Install and Configure

5.3 Document Databases

  • Introduction
  • Documents
  • Document Design Considerations
  • Fields

5.4 Data Modelling with Document Databases

  • Introduction
  • Twitter Sentiment Analysis
  • Twitter Sentiment Analysis – Algorithm
  • Network Log Analysis
  • Network Log Analysis – Algorithm
Exam

Successfully passing this exam, consisting of 25 multiple-choice questions, leads to the Big Data Foundation Certification.

No. of Questions: 40

Duration: 60 minutes

Prerequisite: There are no required prerequisites. We recommend that participants possess intermediate to advanced programming, system administration, or relational database skills to understand the concepts in this certification

Pass Score: 65%

Learning Path
Ways to Attend
  • Attend a public course, if there is one available. Please check our schedule, or register your interest in joining a course in your area.
  • Private onsite Team training also available, please contact us to discuss. We can customise this course to suit your business requirements.

Sorry, we are not taking bookings on this course at present

If you would like to contact us for more information on this course, you may do so here:

Contact us

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