About
The Hadoop ecosystem is the leading opensource platform for distributed storing and processing big data. It is a very popular system for implementing data warehouses and data lakes. Spark has also emerged to be one of the leading engines for data analytics. The Hadoop platform is available at CERN as a central service provided by the IT department.
By attending the session, a participant will acquire knowledge of the essential concepts need to benefit from the parallel data processing offered by Spark framework. The session is structured around practical examples and tutorials.
Main topics:
Architecture overview - work distribution, concepts of a worker and a driver
Computing concepts of transformations and actions
Data processing APIs - RDD, DataFrame, and SparkSQL
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The talk
Credits and licence
- Institution
- CERN
- Department
- Workshops
- Taught by
- Kacper Surdy, Prasanth Kothuri
- Year
- 2016
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed