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Results 1 - 6 of 6Sort Results By: Published Date | Title | Company Name
By: Pure Storage     Published Date: Oct 09, 2018
As flash storage has permeated mainstream computing, enterprises are coming to better understand not only its performance benefits but also the secondary economic benefits of flash deployment at scale. This combination of benefits — lower latencies, higher throughput and bandwidth, higher storage densities, much lower energy and floor space consumption, higher CPU utilization, the need for fewer servers and their associated lower software licensing costs, lower administration costs, and higher device-level reliability — has made the use of AFAs an economically compelling choice relative to legacy storage architectures initially developed for use with hard disk drives (HDDs). As growth rates for hybrid flash arrays (HFAs) and HDD-only arrays fall off precipitously, AFAs are experiencing one of the highest growth rates in external storage today — a compound annual growth rate (CAGR) of 26.2% through 2020.
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Pure Storage
By: NetApp     Published Date: Mar 05, 2018
New innovations in storage technology are changing the game for data centers, and NetApp is working to help our customers capitalize on them. The introduction of faster and faster media types and more efficient mechanisms to access those media across well-defined SAN and Ethernet infrastructures will unlock unprecedented speeds, lower latencies, and dramatic improvements in system and application efficiency.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
By: Pure Storage     Published Date: Jul 18, 2017
This IDC study represents a vendor assessment model called the IDC MarketScape. It's a quantitative and qualitative assessment of the characteristics that assess vendors' current and future success in the AFA market segment and provide a measure of the vendors' ascendancy to become a Leader or maintain a leadership position. IDC MarketScape assessments are particularly helpful in emerging markets that are often fragmented, have several players, and lack clear leaders.
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flash performance, latencies, stripped data, storage techniques, technology efficiency, vendors, api support, odx, usage statistics
    
Pure Storage
By: Pure Storage     Published Date: Jul 26, 2017
This IDC study represents a vendor assessment model called the IDC MarketScape. It's a quantitative and qualitative assessment of the characteristics that assess vendors' current and future success in the AFA market segment and provide a measure of the vendors' ascendancy to become a Leader or maintain a leadership position. IDC MarketScape assessments are particularly helpful in emerging markets that are often fragmented, have several players, and lack clear leaders.
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flash performance, latencies, stripped data, storage techniques, technology efficiency, vendors, api support, odx, usage statistics
    
Pure Storage
By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
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