EdCast
Free Online Course
English
Certificate Available
4 weeks long
selfpaced
Overview
Each day an astounding amount of data is generated from just about everything around us – from our mobile devices to our health care provider to where we shop for groceries – just to name a few. Big Data is a term used to describe the volume of data, variety or type - both structured and unstructured, and speed (real time or near real time). Businesses have become increasingly focused on analyzing big data to increase revenue, drive down costs, and reduce risk to the business.
In addition organizations have started to face infrastructure and platform challenges to store, manage and analyze these vast amounts of varied of data for quick turnaround.
This free, open, online, interactive course will expose you to the value, opportunity, and insights that Big Data can provide. It highlights the Federation Business Data Lake as an integrated solution that stores and provides access to Big Data for real-time, rapid analytics and predictive modeling.
Syllabus
Week 1: What Is Big Data and Data Science?
• Introduce Big Data Analytics and Data Science
• Describe Big Data and Data Science opportunities
• Apply foundational knowledge to current business needs via discussion posts
• Prepare for next week's lesson
Week 2: What's the Value of Big Data and Big Data Analytics?
• Describe the business value and benefits of Big Data
• Explain the roles and responsibilities involved in building a data science team
• Describe the tools, people, and processes used in big data analytics
• Prepare for next week's lesson
Week 3: What Is the Federation Business Data Lake?
• The emergence of data lakes
• Introduce the Federation Business Data Lake
• Relate the Federation Business Data Lake to learner's business problem via discussion post
• Prepare for next week's lesson
Week 4: How is the Data Lake Solution Operationalized?
• Describe how the Federation Business Data Lake ingests, stores, and processes data
• Describe applications of the Federation Business Data Lake
• Work via discussion groups to answer questions related to content
Taught by
Jeremy Burton
