Course Description | Course Outline | IT Training

Overview

This course introduces the basic concepts and fundamental principles of Big Data and NoSQL. Learn about the Big Data lifecycle and adoption. Examine the step-by-step strategization and operationalization of Big Data and NoSQL technologies. Familiarize with the NoSQL landscape and classification of a variety of products and packages in the market such as Hadoop, Accumulo, and MongoDB. Understand the reference architecture and platform stack. Study the basic and advanced methods. The class also covers leading-edge techniques and future trends, coupled with real-world case studies and hands-on labs.

Attendees will be equipped to identify the key features, benefits, impacts and use cases of the Big Data solutions and NoSQL databases. They will be able to explain the terms and best practices related to NoSQL and recognize key considerations and tradeoffs, which they should keep in mind, while designing Big Data applications and NoSQL data stores in a systematic fashion.

Course Objectives

1. Cover the foundational aspects of Big Data and NoSQL
2. Present an end-to-end lifecycle model for strategic adoption and pragmatic roadmapping
3. Explain a comprehensive categorization scheme for NoSQL products and packages
4. Walk through a reference architecture with a platform stack
5. Introduce the basic and advanced methods for NoSQL solutions
6. Study the high-level architecture design and considerations in Big Data solutioning
7. Explore emerging disciplines and forward-thinking outlook
8. Discuss the best practices from the real-world use cases and innovative implementations

Audience

This introductory training is intended for solution architects, systems analysts, systems engineers, and IT managers who are interested in utilizing Big Data and NoSQL technologies within their projects or organizations.

Prerequisites

• Basic understanding and familiarity of information systems and development are desired.
• Additional knowledge on system development lifecycle and data-intensive applications will be helpful.

Schedule

3 Days

Contact Information

E-mail Heith Hart or call (443) 692-6599 if you have any questions about this course or if you would like to be added to the interest list.