Back in January of 2014, I wrote a post describing my first MOOC experience. Also, during this period of time I shared my insights on a new construct called a Data Lake. The data lake concept has evolved substantially since I first reported on it back in February of 2014. In fact, the ideas around Big Data are in a constant state of flux. This stuff is evolving at the speed of now!
Fast forward to today I find myself in a unique position (shaking my head in disbelief) to be part of a team within EMC developing and offering a MOOC called “Data Lakes for Big Data.” As a member of the Big Data Solutions team, I support the training and education portfolio for EMC’s go-to-market strategy for Big Data across EMC’s federation of companies.
As one of the MOOC’s instructors, I can provide you a bit more insight into the course but first I want each and every one of you to sign up right here: Data Lakes for Big Data. The class is now open and is being delivered asynchronously, meaning you can consume the material at your convenience.
The overarching goal of this MOOC is take a person who has no familiarity with Big Data, Data Science, and Data Lakes and give them a basic foundation of knowledge from which they can grow. The MOOC is broken up into four 1 week sessions, with each week introducing a new topic:
- Week 1: What is Big Data and Data Science?
- Week 2: What is the Value of Big Data and Big Data Analytics?
- Week 3: What is a Data Lake?
- Week 4: How is a Data Lake Operationalized?
This online course is for newbies, there are no pre-requisites outside of a genuine interest in Big Data and a willingness to learn. In this course you will see videos from today’s top thought leaders speaking on Big Data and Data Science, including EMC’s Big Data Solutions CTO Chris Harrold, EMC’s Data Science guru David Dietrich, and none other than the Dean of Big Data himself, EMC’s Bill Schmarzo!
All those who finish the MOOC (with a passing grade of 70 or above) will receive a certificate of completion.
I look forward to seeing you in the course.