Fundamental Big Data Engineering
Contenidos:
- Big Data Engineering – Big Data Engineering Challenges
- Big Data Storage Terminologies (including sharding, replication, CAP theorem, ACID, BASE)
- Big Data Storage Requirements
- On-Disk Storage (including distributed file system – databases)
- Introduction to NoSQL – NewSQL
- NoSQL Rationale – Characteristics
- NoSQL Database Types (including key-value, document, column-family and graph databases)
- Big Data Processing Requirements
- Big Data Processing (including batch mode and realtime mode)
- Introduction to MapReduce for Big Data Processing (batch mode)
- MapReduce Explained (including map, combine, partition, shuffle and sort, and reduce)
Category : BIG DATA, Uncategorized
Date : 04 Jun 2015