Big Data Foundation Certificate
his is a fundamental course with practical exercises 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.
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.
- 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 scenario
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
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.
Module 1: Course Introduction
Module 2: Big Data Fundamentals
Module 3: Big Data Sources
Module 4: Data Mining – Concepts and Tools
Module 5: Big Data Technologies – Hadoop
Module 6: Big Data Technologies – MongoDB
Module 7: Exam Preparation Guide
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