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.
- 5 stars45.37%
- 4 stars28.12%
- 3 stars12.36%
- 2 stars6.69%
- 1 star7.42%
Learned about Hadoop Ecosystem, limitations of map-reduce approach and Spark as a solution to overcome some of limitations.Thanks for giving me the opportunity to participate in this MOOC.
A very nice course covering the basics of the Hadoop ecosystem and Apache spark. The lectures are high quality and the presenters do a very good work of explaining the concepts. Thanks
I don't think the answers of quiz are accurate. Some answers may be true in some cases, but not in others. Difficult to choose, even review the videos and do some google.
Easy into into big data architecture with minimal previous development requirements. Relevant to anyone who wants to grasp basic concepts of how data flows/processed/analyzed in hadoop.