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
Course is very much helpful to enhance knowledge as it is designed based on concepts and hands on exercise. So one just can not complete without proper understanding.
Super hands on introduction to key Hadoop components, such as Spark, Map Reduce, Hive, Pig, HBase, HDFS, YARN, Squoop and Flume.
I can't wait to the next course on the specialization.
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.
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