Big Data Foundation
About this Course
|Course Type||Course Code||Duration|
|Big Data||BSWA2201||1 or 2 Days|
This is a foundation level course designed to provide you with an understanding of Big Data, the potential sources of Big Data that can be used for solving real business problems, and overview of Data Mining and the tools used in it.
This is a fundamental course with practical exercises designed to provide you with some degree of 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 our Work-Labs. The course exposes 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.
Why Attend this Course?
Optional certification avaialble for this course.
The Cloud Credential Council (CCC) Big Data Foundation (BDF) certification is a standalone credential which verifies fundamental knowledge and competencies in the broader scope of big data analytics. The certification provides an overview of, and key concepts and approaches in, data analytics and data mining. Practical introductory labs using Hadoop and MongoDB provide a gateway to the application of big data concepts.
Want to get accredited?
What Makes this Course Stand Apart?
Participants in this course will obtain the following benefits:
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.
You will receive the following as part of this course:
eBookfter 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 will Learn?
Upon completion of this course, you will be able to:
Individuals certified at this level will have demonstrated their understanding of:
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
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.
The course can also be of benefit to other professionals, such as business analytics and research analytics, who possess strong Information Technology skills and have a deep interest in Big Data analytics and the benefits it can bring to an organization.
No prior knowledge required.
1. Course Introduction
Course Learning Objectives
Cloud Credential Council®(CCC)
2. Big Data Fundamentals
Big Data – History, Overview, and Characteristics
Big Data Technologies – Overview
Big Data Success Stories
Big Data – Privacy and Ethics
Big Data Projects
3. Big Data Sources:
Enterprise Data Sources
Social Media Data Sources
Public Data Sources
4. Data Mining – Concepts and Tools
Data Mining – Introduction
Data Mining – Tools
5. Big Data Technologies – Hadoop
Install and Configure
Data Processing with Hadoop
6. Big Data Technologies – MongoDB
Install and Configure
Data Modelling with Document Databases
7. Exam Preparation Guide
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