Course Overview
The Big Data foundation course provides students with an understanding of Big Data, 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 exercises designed to provide students 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.
After completing the course, you will be equipped not only with fundamental Big Data knowledge, but will also be introduced to a working development environment containing Hadoop and MongoDB, installed by yourself. This practical knowledge can be used as a starting point in the organizational Big Data journey.
What you’ll learn
- 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.
Requirements
- None
Target audiences
- Software Engineers
- Application Developers
- IT Architects
- System administrators
Curriculum
- 1 Section
- 7 Lessons
- 2 Days
- Topics7
- 1.1Course Introduction Let’s Get to Know Each Other Course Learning Objectives Course Agenda Activities Exam Course Book CCC – Accreditor of the Course Certification Value
- 1.2Big Data Fundamentals Overview Big Data – History, Overview and Characteristics Big Data Technologies – Overview Big Data Success Stories Big Data – Privacy and Ethics Big Data Projects
- 1.3Big Data Sources Enterprise Data Sources 30 Social Media Data Sources 34 Public Data Sources
- 1.4Data Mining: Concepts and Tools Data Mining – Introduction Data Mining – Tools
- 1.5Big Data Technologies – Hadoop Hadoop Fundamentals Install and Configure MapReduce Data Processing with Hadoop
- 1.6Big Data Technologies – MongoDB MongoDB Fundamentals Install and Configure Document Databases Data Modeling with Document Databases
- 1.7Exam Preparation Guide Qualification Learning Objectives Learning Level of the Syllabus Certification Exam Instructions Tips for Exam Taking
Instructor
