Netiquetteiq.blogspot.com Technical Term Of the Day - real-time analytics

real-time analytics

Real-time analytics is the use of, or the capacity to use, data and related resources as soon as the data enters the system. The adjective real-time refers to a level of computer responsiveness that a user senses as immediate or nearly immediate. Technologies that support real-time analytics include: Processing in memory (PIM) -- a chip architecture in which the processor is integrated into a memory chip to reduce latency. In-database analytics -- a technology that allows data processing to be conducted within the database by building analytic logic into the database itself. Data warehouse appliances -- combination hardware and software products designed specifically for analytical processing. An appliance allows the purchaser to deploy a high-performance data warehouse right out of the box. In-memory analytics -- an approach to querying data when it resides in random access memory (RAM), as opposed to querying data that is stored on physical disks. Massively parallel programming (MPP) -- the coordinated processing of a program by multiple processors that work on different parts of the program, with each processor using its own operating system and memory. In CRM (customer relations management), real-time analytics can provide up-to-the-minute information about an enterprise's customers and present it so that quicker and more accurate business decisions can be made -- perhaps even within the time span of a customer interaction. In a data warehouse context, real-time analytics supports unpredictable, ad hoc queries against large data sets. Another application is in scientific analysis such as the tracking of a hurricane's path, intensity, and wind field, with the intent of predicting these parameters hours or days in advance. Real-time analytics is also known as real-time data analytics, real-time data integration, and real-time intelligence.

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