Examples of using In-memory computing in English and their translations into German
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Product details The solution for big data and in-memory computing.
In-Memory Computing which delivers results 100x faster than traditional systems.
Customer References Motech achieves high-speed in-memory computing and high availability.
In-memory computing is essential if you want to successfully aggregate these large amounts of data.
Organizations that have invested in the SAP platform recognize the in-memory computing advantages of SAP HANA.
In-memory computing, cloud computing, rapid-deployment solutions, analytics and mobility.
In this video, SAP's Chris Hallenbeck and Intel's LisaDavis discuss this industry first, revolutionary change to in-memory computing.
Thanks to“in-memory computing”, even very large data volumes can be processed in a very short time.
We're delighted to have beenchosen as a‘Cool Vendor 2014' by Gartner for in-memory computing,” says RELEX MD Mikko Kärkkäinen.
SMEs are using in-memory computing to increase agility and profitability and excel in new areas.
This started me thinking about the similarity between this technology and distributed in-memory computing for machine learning and artificial intelligence.
In-memory computing via the cloud Dynamic Services for SAP® HANA accelerate big data analytics, business processes and decision making.
For the connection of novomind iSHOP and iPIM,both systems exploit the advantages of in-memory computing and facilitate changes and updates in a matter of seconds.
Watch the video Machine Learning In-memory computing and the openness of platform-as-a-service(PaaS) provides rapid access to data to support machine learning.
Corporate IT departments cannot ignore this trend either, and as a result,trends such as"mobility","cloud computing" and"in-memory computing"( SAP HANA) are on everybody's lips.
Cloud computing, mobile, and in-memory computing open up new horizons for real-time data access- anywhere.
RELEX group CEO Mikko Kärkkäinen's contribution to the seminar focused on thegrowing importance of recruiting new talent, of In-Memory Computing and of the cloud to the future of the supply chain.
Magic has been using GigaSpaces' XAP In-memory computing platform for years to deliver fast data streaming, aggregation and calculations.
We are pleased to be able to offer a solution to our customers that effectively translates Big Data Analytics buzzwords such as machine streaming data,predictive analytics, in-memory computing, Hadoop etc.
Its largely new architecture is based on in-memory computing(IMC) in conjunction with a simplified data model and the new user interface«FIORI».
The true power of SAP HANA will only be realized when the combination of hardware infrastructure and software works in perfectharmony to efficiently process massive volumes of real-time data using in-memory computing.
SAP HANA and in-memory computing, coupled with NetApp solutions for HANA, eliminate the gap between when analytic data is captured and what is currently occurring.
In choosing RELEX to receive the Supply Chain Breakthrough award thejudges praised;“the winner's innovative use of in-memory computing and machine learning, efficiently using tech to revolutionise the retail supply chain.”.
The use of in-memory computing for business software solutions has revolutionized the world of IT and made applications more flexible and more rapid in meeting new requirements.
RELEX's proprietary SCM-optimized database allows the software to process data 100 timesfaster than conventional providers by enabling the use of in-memory computing. For example, the solution can calculate 50 million stock keeping units in less than two hours.
Optimized for large scale mission critical in-memory computing, virtualization, ERP/CRM, Financial Analysis applications in Enterprise, Data Center, Cloud, and HPC environments.
The UK's COSMOS computing facility, founded by physicist Stephen Hawking and colleagues and under the direction of Professor Paul Shellard,leverages Superdome Flex and in-memory computing to transform large data volumes into insights, accelerate innovation and further understand the universe.
With high-performance in-memory computing, distributed systems and GPUs, we can solve problems that were largely the stuff of science fiction when I started working in data science 20 years ago.
Big Data and in-memory computing will allow us to move from descriptive analytics(what happened) to diagnostic(why did it happen) to predictive(what is likely to happen) to prognostic analytics what should I do about it.
The rise of in-memory computing, where data is processed in the random access memory(RAM) instead of relational databases on relatively slow disk drives, will be an enabler of data analytics, helping 3PLs extract and analyze Big Data more quickly, efficiently and cost-effectively.