Examples of using Distributed data in English and their translations into German
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Information and distributed data.
Distributed data and knowledge management.
Recommendations for protecting distributed data.
By distributed data we mean that data should be fragmented.
Globally transparent view of all facilities, all distributed data at a glance.
Due to the distributed data, the failure of individual servers could be compensated for a very long time.
To backup external archive stores, the distributed data has to be backed up simultaneously.
Riak KV has an innovative database architecture that provides fast read andwrite functionality for globally distributed data.
The relevance of the large computer as a"background system" in Distributed Data Processing is confirmed by all the experts.
WAN optimization, distributed data centers, remote access: we design architectures to ensure that your applications are at peak performance and highly available.
Depending on roles and rights,any number of teams worldwide can access globally distributed data without wasting time.
Organizations can thus merge their existing, distributed data into a global information service based on the Lightweight Directory Access Protocol LDAP.
In addition to creating human computation and open calls,researchers can also create a distributed data collection project.
In human computation and distributed data collection projects, on the other hand, the best form of quality control comes through redundancy, not a high bar for participation.
The design of PhotoCity also elegantly solves the sampling and data quality challenges of eBird andother distributed data collection projects.
As the examples below-from ornithology and computer science-show distributed data collection enables researchers to collect data more frequently and in more places than were possible previously.
Some example uses of the network include"eepsites"(webservers hosting normal web applications within I2P),a BitTorrent client("I2PSnark"), or a distributed data store.
WDDX(Web Distributed Data eXchange) is a programming language-, platform- and transport-neutral data interchange mechanism to pass data between different environments and different computers.
Recent surveys(e.g., IBM Institute for Business Value 2012) emphasizethat data quality is of utmost priority, especially for unstructured and distributed data.
EBird is a distributed data collection project that solicits information from birders around the world, and it has already received over 260 million bird sightings from 250,000 participants Kelling et al.
The aim of the international andmultidisciplinary collaborative project CrowdHEALTH is to integrate these heterogeneous and distributed data uniformly and to provide analysis findings to….
Fog computing should help to transport the distributed data closer to the enduser and thus decrease latency and the number of required hops and therefore better support mobile computing and streaming services.
The aim of the international andmultidisciplinary collaborative project CrowdHEALTH is to integrate these heterogeneous and distributed data uniformly and to provide analysis findings to decision-makers in the healthcare sector.
Unlocking the value of increasingly distributed data and taking full advantage of enterprise SAP offerings requires the appropriate network connectivity to support SAP workloads in encompassing edge, cloud, and core environments.
Scalability, availability and fault tolerance are also key factors when it comes to current distributed systems which iswhy issues such as cloud computing and distributed data management are also addressed as part of this major.
The goal is toallow an integrated search for subject aspects in distributed data holdings with different intentional emphases taking into account the conceptual differences of the applied thesauri and classifications by cross concordances.
Researchers of the Fraunhofer Institute for Experimental Software Engineering IESE receive the EARTOInnovation Prize 2014 for the development of the software IND²UCE(Integrated Distributed Data Usage Control Enforcement) that protects companies from theft and improper use of data.
The combination of assets features new machine learning capabilities from SAP Leonardo, a set of intelligent technologies the company introduced last year, as well as the new SAP HANA Data Management Suite,which enables companies to gain visibility and control of their highly distributed data.
In order to be able to live up to these complextasks, the management of the company-wide distributed data from the different stages of planning and operation certainly is among the challenges critical to success.
One consultant pointed out, however, that the potential for mutual assistance in computer capacity referred to in Proposition 9 will not be significant,since in two or three years adequate capacities (including forms of Distributed Data Processing) will be generally available within organizations.