requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.
Inhoudsopgave
Emerging Trends and Transformations in the IT Landscape.- High Performance Technologies for Big- and Fast-Data Analytics.- Big- and Fast-Data Analytics for High-Performance Computing.- Network Infrastructure for High-Performance Big-Data Analytics.- Storage Infrastructure for High-Performance Big-Data Analytics.- Real-Time Analytics using High-Performance Computing.- High-Performance Computing Paradigms.- In-Database Processing and In-Memory Analytics.- High-Performance Integrated Systems, Databases and Warehouses for Big- and Fast-Data Analytics.- Cluster and Grid Computing Paradigms.- High-Performance Peer-to-Peer Systems.- Visualization Dimensions for High-Performance Big-Data Analytics.- Social Media Analytics for Organization Empowerment.- Big-Data Analytics for Healthcare.