Big Data Visualization

Internal storage installed directly on servers is included in the server segment, not the storage segment of the market sizing.) Server revenue (including internal storage, memory, network cards) and supporting system software as well as spending for self-built servers by large cloud service providers Datacenter networking infrastructure used in support of Big Data server and storage infrastructure (Specifically, this forecast models spending based on IDC s research into the following markets: Ethernet switches, Fibre Channel switches, InfiniBand switches, and application delivery.) Software includes the Big Data portions of: Data organization and management software, including parallel and distributed file systems with global namespace, highly scalable (size and structure) relational database, key-value pair (KVP) data store, graph database, XML databases, object-oriented databases, dynamic application data stores and caches, data integration, event-driven middleware, and others Analytics and discovery software, including search engines used for Big Data applications, data mining, text mining, rich media analysis, data visualization, and others Decision support and automation software including business process or industry-specific applications such as for Web clickstream analysis, fraud detection, logistics optimization, and others Services includes business consulting, business process outsourcing, plus IT project based services, IT outsourcing, and IT support, and training services related to Big Data implementations.. Therefore, a proper analysis of data using big data analytics tools may impact the business processes within a company at various levels such as: Pricing- analyzing hundreds of millions of SKUs lead to optimal prices with a clear impact on profitability and better inventory management Customers behavior- the traditional ways of collecting information about customer s behaviors such as mystery shopping, surveys, focus groups are not sufficient any