This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
Very detailed , thorough introduction to a lot of the Hadoop ecosystem. Nice explanation and assignment to get a feel for Spark. At times a bit dry but altogether a well structured and taught course.
This course gives a nice introduction to Hadoop basics. Unfortunatly, i faced many issues to work with cloudera VM and some commands in tutorials are obsolete. Thank you very much for your efforts.
Good introductionary course to get familiar with Hadoop and Spark. Could dig a bit deeper. It's only 5 weeks long, which accounts for half a trimester. Two of those makes one full size class.
Great course with great explanations. I just want to suggest to use more visual examples during your explanations, I mean, it would be nice to see live examples of code and executions running.