0047 - Big Data Management Systems and Tools
Description
Overview
Big Data involves massive data volumes and diverse data types. Modern organizations need people who can help implement the tools they need to deal with these huge data sets.
In this course, you’ll learn the technology of big data and build in-demand skills. You’ll also get hands-on experience using up-to-date database management systems and tools. Get in on the explosion of new NoSQL technologies and big data tools including Hadoop, Spark, and Cassandra.
This course is developed in partnership with the School of Continuing Studies at the University of Toronto.
Who Should Enroll
- Business associates, operations managers, project managers, and intelligence analysts
- Finance, securities, and insurance professionals
- Digital marketing and communication specialists
- Professionals from every level or industry who work with analytics or data
What you will learn
- Understand the architecture of reliable big data systems.
- Describe how they differ from traditional systems.
- Use several NoSQL database management systems.
- Address the many challenges of working with data at scale.
- Use tools such as MongoDB and Spark to process large datasets.
Course Details
Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.
Academic requirements:
Required prerequisites:
- Foundations of Data Science OR
- A passing grade on the prior learning assessment, conducted by the University of Toronto, for equivalent skills
- A working knowledge of Python.
- A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.
System requirements:
- Anaconda/Jupyter (software that you are required to install)
- Waterloo LEARN