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CCC Big Data Foundation (BDF)
Duration
2 Days
Course
CCC-140
Available Formats
Classroom Training, Online Training
Course Description
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.
Objectives
Upon completion of the Big Data Foundation course, students will be able to:
- 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.
Audience
This course is best suited to Information Technology 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
Prerequisites
-
None
Topics
Course Introduction
- Let’s Get to Know Each Other
- Course Learning Objectives
- Course Agenda
- Activities
- Exam
- Course Book
- CCC – Accreditor of the Course
- Certification Value
- Overview
- Big Data – History, Overview and Characteristics
- Big Data Technologies – Overview
- Big Data Success Stories
- Big Data – Privacy and Ethics
- Big Data Projects
- Enterprise Data Sources 30
- Social Media Data Sources 34
- Public Data Sources
- Data Mining – Introduction
- Data Mining – Tools
- Hadoop Fundamentals
- Install and Configure
- MapReduce
- Data Processing with Hadoop
- MongoDB Fundamentals
- Install and Configure
- Document Databases
- Data Modeling with Document Databases
- Qualification Learning Objectives
- Learning Level of the Syllabus
- Certification
- Exam Instructions
- Tips for Exam Taking
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Self-Paced Training Info
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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