This document provides an overview of the BICube big data analytics platform. It describes the platform's architecture including components like HDFS, Zookeeper, Yarn, MapReduce, Hive, Pig and Mahout. It also covers in-memory analytics using Spark, machine learning algorithms for classification, clustering and association. Additionally, it lists types of analytics the platform supports such as sentiment analysis, topic modeling, similarity analysis, social network analysis, and more. The document emphasizes that the platform runs algorithms on Hadoop and Spark and allows users to build custom components and user interfaces.
25. BICube 25
Mash-up to BigdataMash-up to BigdataMash-up to BigdataMash-up to Bigdata
26. BICube 26
3D Visualization3D Visualization3D Visualization3D Visualization
PointCloud on GPU for Topological Data AnalysisPointCloud on GPU for Topological Data Analysis
27. BICube 27
Module Manager Add components by yourself–
DIY-ComponentDIY-ComponentDIY-ComponentDIY-Component