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.
Hadoop Platform and Application FrameworkUniversity of California San Diego
About this Course
Skills you will gain
- Python Programming
- Apache Hadoop
- Apache Spark
Syllabus - What you will learn from this course
Introduction to the Hadoop Stack
Introduction to Hadoop Distributed File System (HDFS)
Introduction to Map/Reduce
- 5 stars45.25%
- 4 stars28.14%
- 3 stars12.36%
- 2 stars6.77%
- 1 star7.46%
TOP REVIEWS FROM HADOOP PLATFORM AND APPLICATION FRAMEWORK
Covers the basics well, but lacks depth and integration between the weeks. E.g. it would be nice to see how to use Spark + HDFS together and what the efficiency considerations are.
Very good overview, but not extremely in-depth. It's a great course to get an understanding of the concepts and you can investigate deeper later into the topics that interest you.
The presentation of some of the lecture materials was quite bad. It'd help if you already had some foundation. It did help me reinforce my understanding and I did learn something new.
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