Duration
3 days
WHAT IS BIG DATA FOUNDATION?
- The Big Data Foundation certification 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.
BENEFIT OF BIG DATA FOUNDATION
- This course will establish the foundation for professionals to work with structured and unstructured data and glean value-adding insights. They will have gained:
- A detailed understanding of Big Data and Data Mining concepts.
- Ability to identify and obtain relevant datasets when looking at a business problem.
- Ability to install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental level.
WHO SHOULD ATTEND?
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
LEARNING OBJECTIVES
- Big Data fundamentals
- Big Data technologies
- Big Data governance
- Available sources of Big Data
- Data Mining, its concepts and some of the tools used for Data Mining Hadoop, including its concepts, how to install and configure it, the concepts behind MapReduce, and how Hadoop can be used in real life scenarios
- MongoDB, including its concepts, how to install and configure it, the concepts behind document databases and how MongoDB can be used in real life scenarios.
COURSE CONTENT
- Big Data – History, Overview, and Characteristics
- History
- Big Data Definition
- Big Data Benefits
- Big Data Characteristics – Volume, Velocity & Variety
- Big Data Technologies – Overview
- Public Data Sources
- Big Data – Privacy and Ethics
- Privacy – Compliance
- Privacy – Challenges
- Privacy – Approach
- Ethics
- Big Data Projects
- Who Should Be Involved?
- What Is Involved?
- Enterprise Data Sources
- Enterprise Systems
- Oracle
- SAP
- Microsoft
- Data Warehouses
- Unstructured Data – Introduction
- Unstructured Data – Metadata
- 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
- Public Data Sources
Introduction
- Weather
- Economics
- Finance
- Regulatory Bodies
- Data Mining – Introduction
Introduction
- Types of Data Mining – Overview
- Types of Data Mining – Classification
- Types of Data Mining – Association
- Types of Data Mining – Clustering
- Data Mining – Tools
Introduction
- Weka
- Modules of Weka Applications
- KNIME
- KNIME – Example
- R Language
- Public Data Sources
Introduction
- Weather
- Economics
- Finance
- Regulatory Bodies
- Hadoop Fundamentals
Introduction
- Main Components of Hadoop
- Additional Components of Hadoop
- Install and Configure
- Download
- How to Install and Configure
- MapReduce
Introduction
- How Does It Work?
- Data Processing with Hadoop
Introduction
- Twitter Sentiment Analysis – Overview
- Twitter Sentiment Analysis – Algorithm
- MongoDB Fundamentals
Introduction
- Replication
- Sharding
- Sharding and Replication
- MongoDB Ecosystem – Languages and Drivers
- MongoDB Ecosystem – Hadoop Integration
- MongoDB Ecosystem – Tools
- Install and Configure
- Download
- How to Install and Configure
- Document Databases
Introduction
- Documents
- Document Design Considerations
- Fields
- Data Modelling with Document Databases
Introduction
- Twitter Sentiment Analysis
- Twitter Sentiment Analysis – Algorithm
CERTIFICATION
Big Data Foundation Certification Information:
- Exam Type : Multiple Choice
- No. of Questions: 40
- Duration: 60 minutes
- Supervised (Proctored) :Yes (Web/Live)
- Electronic Devices Permitted: No
- Open Book: No
- Pass Score: 65%
- Additional Time Provisions : Provisions 15 minutes additional time for candidates who speak English as a second language
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.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.