europe SNIA
advantage or have better outcomes. Outcomes spanning a wide range from providing better customer experiences and building better products faster to locating terrorist activity are all centered around Big Data.
Another difference is that most of the data growth that comprises Big Data is unstructured. The simplest example is to compare a customer record that is structured to a video that is unstructured. A customer record has fields like customer name and customer address, it has fixed size, you can store it in a structured (row-column) database, you can search for a specific customer using a query and so on. By contrast, a video is a stream of digital data typically stored as a file. It doesn’t have fixed fields and it’s difficult to search, therefore it’s unstructured. As an example, the opportunity is to be able to store hours, days, months and years of surveillance video, link structured, fixed-field data to it and be able to find the whereabouts and actions of a single person immediately upon request such as identifying a terrorist as soon as they enter an airport or finding known cheats as they enter a casino.
Other big data examples involve gaining insight from very large data sets to identify trends and match them to real-time events. For example, being alerted to a particular customer ordering 300 times more that they usually do so that you can re-route inventory to satisfy their need. This requires analytics to know what they normally order and real-time alerts to events that are abnormal. Similarly banks and brokerages need pattern recognition in real-time to detect fraud. Many other use cases exist. Consider large retailers analyzing their transactional data together with weather forecasts to anticipate where show shovels need to be delivered ahead of a storm or where fans need to be delivered ahead of a heat wave. There are dozens of other use cases in retailing and merchandising alone.
The drive to develop and deliver innovative products and services in the future will be fueled increasingly by companies’ ability to acquire and analyze vast amounts of structured and un-structured data. Large and small enterprises are racing to acquire this capability by leveraging the vast computing power of the public cloud and by re-engineering their data centers into private clouds.
The buzz is real and the challenges are complex, but the fact of the matter is that substantial data growth is everywhere and traditional approaches don’t scale (enough). Technology advancements and complexities in model accuracy, real-time information sharing, high- end imaging; streaming video, analytics and other data-intensive applications dramatically are changing the way business is conducted. The time is now to provide robust solutions to manage, support, and maintain these businesses and their big data
A new SNIA committee, Analytics & Big 16
www.dcseurope.info I June 2012
Data, has been formed within the Storage Networking Industry Association. SNIA’s ABDC is dedicated to fostering the growth and success of the market for what is generally referred as Analytics and Big Data and more generally the use of data storage resources and services by analytics and big data applications and toolsets. The goals of the ABDC are to become the recognized authority regarding the use of storage and storage networking for Analytics and Big Data.
Further goals are to determine and document the characteristics of Analytics and Big Data offerings, the impact of Analytics and Big Data on enterprises and analytics and big data computing as well as collecting requirements from Analytics and Big Data vendors and document best practices in this area. Additionally, the ABDC will collaborate with academia and the research labs of member companies to understand how advances in storage, storage networking, and other technologies will affect Analytics and Big Data.
Furthermore, the ABDC will educate the vendor and user communities on the use of storage and storage networking for Analytics and Big Data. Specific activities proliferating this will be coordinating education activities with the Education Committee, creating peer reviewed vendor-neutral SNIA tutorials and vendor-neutral demonstrations, leveraging Storage Networking World [SNW] and other worldwide SNIA and partner conferences, as well as collaborating with global industry analysts.
Finally, the ABDC will perform market outreach that highlights the virtues of storage and storage networking for Analytics and Big Data such as articles in trade magazines, whitepapers, press releases, and collaborative published articles with academia and research institutions. This committee will collaborate with other industry associations via SNIA’s various strategic alliance partners on analytics and big data related technical work in which they are involved. It will coordinate with SNIA Global to ensure that the impact of the Analytics and Big Data Committee is felt worldwide. To promote a well-rounded approach and integration, the ABDC will coordinate with the Cloud Storage Initiative to jointly message the Analytics and Big Data cloud- oriented market and offerings.
The ABDC is a new SNIA Committee, chartered in April 2012, and is dedicated to fostering the growth and success of the market for what is generally referred as Analytics and Big Data, and more generally, the use of data storage resources and services by analytics and big data applications and toolsets. If your company is a SNIA member, there is no fee to join and participate! The ABDC has an initial set of five member companies, in alphabetic order: EMC, HP, Huawei, NetApp and SpectraLogic. The co-chairs of the ABDC are Gilda Foss (NetApp) and Rob Peglar (EMC).
For more information about this new committee, please visit:
http://www.snia.org/
forums/abdc or in Europe
http://www.snia-europe.org/en/ technology-topics/abdc/
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