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.
Offered By
Hadoop Platform and Application Framework
University of California San DiegoAbout this Course
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Try Coursera for BusinessSkills you will gain
- Python Programming
- Apache Hadoop
- Mapreduce
- Apache Spark
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Syllabus - What you will learn from this course
Hadoop Basics
Introduction to the Hadoop Stack
Introduction to Hadoop Distributed File System (HDFS)
Introduction to Map/Reduce
Reviews
- 5 stars45.32%
- 4 stars28.15%
- 3 stars12.35%
- 2 stars6.72%
- 1 star7.44%
TOP REVIEWS FROM HADOOP PLATFORM AND APPLICATION FRAMEWORK
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.
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.
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.
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.
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