An Overview of Streaming Analytics
Why can I watch YouTube videos on my laptop but can't get current operational information to run my business? Streaming Analytics is made
possible through specialty chips, or hardware accelerators called
Field Programmable Gate Arrays (FPGAs). Here's how it works: Data enters the FPGA and passes through a series of internal "gates"
according to the function loaded into the chip. Filtering and processing
takes place as information flows unimpeded through the gates. The process enables algorithms to run 10-100 times faster than
traditional approaches and accounts for the speed advantage of FPGAs when handling
data streams. Conventional technologies typically require moving information between storage and memory to perform a processing
Using high-performance analytics at streaming speeds can be game-changing for data-intensive companies by improving performance
by orders of magnitude. Wherever critical information is needed urgently
-- fast, in-depth analysis of information impacts business performance. Financial Services firms can run complex risk analyses
iteratively, hundreds of times throughout the day rather than overnight, for
better trading decisions. Telecommunications companies can analyze call data records in real time to offer customers the best
packages and rates. Retailers can optimize SKU-level pricing by capturing in-store
No Data Movement
A fundamental computer science principle says: when operating on large data sets, do not move data unless you absolutely have to.
Streaming Analytics processes information extremely efficiently, as early
in the data stream as possible. By optimizing the use of FPGAs, the architecture has revolutionized the datawarehousing industry.
Data warehousing is transformed by running complex SQL queries and non-SQL
algorithms used by analytics applications against terabytes of information. The ability to run a complex analysis against a huge
live database, without the delays and costs of moving data to separate hardware
andstoring it in an application, opens up new types of analyses previously out of reach.
Contact MindStream Analytics
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