Examples of using Unstructured data in English and their translations into Russian
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Extracting signals from unstructured data Sven S.
This unstructured data is currently described by GSIM as a Process Input.
Numbers are basic, unstructured data objects.
Eighth-generation drive technology for reliable access to bulk storage of unstructured data.
Time Stamps are basic, unstructured data objects.
Exos 7E2 The Seagate Exos 7E2 enterprise hard drives with 1TB and2TB capacities are specifically designed to address the needs of storing unstructured data cost-effectively.
The Wolfram Cloud's Semantic Server takes unstructured data sources and turns them into WDF.
This is a particularly pressing issue for Web-scale cloud providers and data-rich large enterprise organizations,who are accumulating vast amounts of this unstructured data.
Exos 7E2 provides the most cost-effective, reliable access to unstructured data in bulk storage applications.
Unstructured data(or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner.
In a v ariety of structured and increasingly unstructured data formats;
In addition,«Thin provisioning»allows you to work with unstructured data and files with random addressing, processing these records as a sequence of individual blocks.
Many bristle at the term, but whatever description you use, there's a growing need to corral the mind-bending load of structured and unstructured data flying by.
These annotators can identify mentions and relationships in unstructured data and be easily administered throughout their lifecycle using one common tool.
Since unstructured data commonly occurs in electronic documents, the use of a content or document management system which can categorize entire documents is often preferred over data transfer and manipulation from within the documents.
The today's archiving systems aimed to store static unstructured data are focused on optimum information distribution and effective user access.
Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract andclassify information from textual sources, a species of unstructured data.
Whether it is structured,semi-structured, or unstructured data, Db2 Warehouse on Cloud provides many tools and APIs for data loading fast and easy.
Designed for a new class of data-intensive workloads, it is simple to deploy and excellent for applications from big data, data protection, software-defined storage environments,scale-out unstructured data repositories, media streaming and content distribution.
Actually, big data generate enormous volumes of structured and unstructured data that are difficult to process by using traditional database techniques and software.
Examples of"unstructured data" may include books, journals, documents, metadata, health records, audio, video, analog data, images, files, and unstructured text such as the body of an e-mail message, Web page, or word-processor document.
This area formed back in 2000s, andit unites the totality of methods for processing unstructured data of large volumes and variety in order to obtain profitable results.
With just a few clicks, unstructured data sources are automatically transformed into a structured format for analysis- Twitter data, Open Data, Cloudant JSON documents, geospatial data, and more.
The Wolfram Language-as accessed from a varietyof Wolfram products and services-lets you convert from unstructured data, including free-form natural language, to precise canonical WDF.
With an increase of unstructured data from video sources, intraoperative imaging and surgical documentation, managing and targeting the right data in the operating room has become more important than ever.
The core benefit of such solutions is compelling:maximize the value of raw(unstructured) data through rigorous analysis that reveals key trends and correlations hidden within that data. .
The HPC industry is creating immense amounts of unstructured data each year and a portion of HPC system configurations are being reshaped to enable the community to extract useful information from that data. .
Using no predefined schema, Splunk Universal Forwarders and collection methods such as syslog, HTTP direct API, scripted inputs, andthe mobile SDK can index unstructured data from sources such as applications, sensors, endpoint devices, mainframes, industrial systems and network packet streams.
The emergence of Big Data in the late 2000s led to a heightened interest in the applications of unstructured data analytics in contemporary fields such as predictive analytics and root cause analysis.
The search for and analysis and evaluation of all kinds of data in the e-system of public administration,especially unstructured data, can predict future development trends and support the development of a number of major policies.