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.
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Hadoop Platform and Application Framework
University of California San DiegoÜber diesen Kurs
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- Python Programming
- Apache Hadoop
- Mapreduce
- Apache Spark
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Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Hadoop Basics
Introduction to the Hadoop Stack
Introduction to Hadoop Distributed File System (HDFS)
Introduction to Map/Reduce
Bewertungen
- 5 stars45,25 %
- 4 stars28,14 %
- 3 stars12,36 %
- 2 stars6,77 %
- 1 star7,46 %
Top-Bewertungen von HADOOP PLATFORM AND APPLICATION FRAMEWORK
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.
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.
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.
Excellent material, teachers and all in place to head studies in the right direction to learn Hadoop and related tools..!
Thanks very much for the great time shared with us..!
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