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... Available in: http://www.redalyc.org/articulo.oa?id=273741070007 ...
Improvisation of Incremental Computing In Hadoop Architecture
Improvisation of Incremental Computing In Hadoop Architecture

... Frank McSherry and Rebecca Isaacs reported on the design and implementation of Naiad [6]. It is a set of declarative dataparallel language extensions and an associated run time supporting computation which is efficient and incremental and iterative. This combination is enabled by a new computational ...
Disk Partitioning - Seton Hall University
Disk Partitioning - Seton Hall University

... predict how much space each partition will need, which may be a difficult task • Logical Volume Management, often used in servers, increases flexibility by allowing data in volumes to expand into separate physical disks • Another option is to resize existing partitions when necessary. ...
Imperva ADC Webinar Series: Top 5 Security Trends for 2010
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... + Avoid automatic leveraging of another compromise ...
[Insert Hospital Name/Logo] - Sunset Country Family Health Team
[Insert Hospital Name/Logo] - Sunset Country Family Health Team

... influenza vaccination rates and cancer screening rates. Our most problematic challenge has been data extraction from our EMR. Three of our sites use P & P Data but utilize different versions and are not integrated or connected between sites, while the fourth site uses OSCAR for their EMR. This chall ...
OWL2 based Data Cleansing Using Conditional Exclusion Dependencies
OWL2 based Data Cleansing Using Conditional Exclusion Dependencies

... (henceforth denoted CFDs and CINDs) in the context of OWL2. Based on experiments conducted on real world databases [2], we found out that a form of Conditional Exclusion Dependency (CED) may be relevant in capturing more real-life data inconsistencies. To the best of our knowledge, this work is a fi ...
Data connection and manipulation of archaeological database
Data connection and manipulation of archaeological database

... schema; one may need to split tables into different partitions to take advantage of concurrent operations, or merge tables in cases where different tables are frequently joined, so that performance improves if one merged table represents the stored join. Decisions can also be made on the tuning of t ...
Scientific Data and Social Science Data Libraries
Scientific Data and Social Science Data Libraries

... matically executed for the user o f a WWW browser. The user is only required to make a selection from a limited number of actions appropriate for the dataset, and who need not understand the syntax of that software package or the physical format of the data. Thus, automation makes it po ss ible to g ...
Decision of the HDAT Council Management No 70/27.2.2015
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... Entities wishing to obtain Member access to HDAT shall be required to submit an application (in a free text) with the following specific documentation: 1. An outline of the applicant’s organisational structure (including its back office function, any branches, subsidiaries, etc.). 2. A document desc ...
Statistics
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... Simple random sample • simple random sample is a subset of individuals (a sample) chosen from a larger set (a population). Each individual is chosen randomly and entirely by chance, such that each individual has the same probability of being chosen at any stage during the sampling process, and each ...
Preliminary Report on a Proposed Social Science Observing System for
Preliminary Report on a Proposed Social Science Observing System for

... Gulf of Mexico has shown, offshore oil drilling can create serious environmental, economic, and social problems. While it might be expected that new offshore drilling projects will be on hold for some time, over the long term, it is likely that such oil production will resume. North Carolina can exp ...
Parallelism and Business Intelligence (cont…)
Parallelism and Business Intelligence (cont…)

... Parallelism and Granularity Whenever we talk about parallelism, we need to assess the size of the problem as well as the way the problem can be decomposed into parallelizable units. The metric of the unit size with respect to concurrency is called granularity. Large problems that decompose into a r ...
data extraction from medical records
data extraction from medical records

... want to share data in various ways but we also want to protect your confidential and personal information. Data about health can be used for various reasons, both internally within the practice, and externally with other services. In the last few years there have been a number of National schemes in ...
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... are necessary for the provision of services in support of the protection of life and property and the well being of all the nations… WMO Res 25 (Cg-XIII) - Exchange of hydrological data and products. Members shall provide on a free and unrestricted basis those hydrological data and products which ar ...
Data Warehouse Schemas
Data Warehouse Schemas

... decision making. It is gaining importance day by day. It provides a multidimensional view of huge amounts of historical data from operational sources, thus supplying useful information for decision makers to improve their business intelligence which has become an integral part of decision making str ...
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DRAFT securing competitive energy for industry IFIEC response on

... What are your views on the above-mentioned list of contracts according to Article 8(2)(a) of the Regulation (Annex III)? Which further wholesale energy products should be covered? Do you agree that the list of contracts in Annex III should be kept rather general? Do you agree that the Agency should ...
Key-Value stores
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... connection parameters such as database location, driver class and credentials metadata such as data sets contained in the cluster, replica locations, and data ...
Infer:Host Analytics:LeanData
Infer:Host Analytics:LeanData

... Marketing strategist with extensive technology experience (15+ years) leading enterprise and product marketing at large and small companies Started out in IT, moved into Marketing Worked primarily with SaaS companies in the last 10 years Ohio University alumnus ...
Introduction to Databases - Department of Software and Information
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...  Increased through data striping • Data segmented into equal-size partitions (striping unit) • Transparently distributed across multiple disks ...
Parks Canada Uses Geomatica Discover
Parks Canada Uses Geomatica Discover

... scheme for Landsat imagery. This system works well for Landsat, since the WRS-2 tiling scheme does not change and the number of bands collected is always the same for each acquisition. By cross referencing with the WRS-2 schema, identifying path/rows for required images is relatively straightforward ...
X-ray End Station (XES) Controls
X-ray End Station (XES) Controls

... Generation, storage, retrieval and analysis of experimental data is the “product” of the LCLS. LSST, if funded, will produce ~30 TB of data per night. The AMOS experiment may eventually take data @120Hz from: 6 spectrometers @~15 KB. 5 CCDs @1 MB each That’s ~700 MB/second or 2.4 TB/hour or ~58 TB/2 ...
Nebraska Regional Interoperability Network
Nebraska Regional Interoperability Network

... • NRIN allows public safety centers to share large amounts of data and communications with each other over long distances in a way that is the most secure and reliable. ...
Why Collective Impact? - Georgia Gerontology Society
Why Collective Impact? - Georgia Gerontology Society

... to age at home, quality of life ...
Abstract - PG Embedded systems
Abstract - PG Embedded systems

... Clustering is the process of classifying objects into different groups by partitioning sets of data into a series of subsets called clusters. Clustering has taken its roots from algorithms like k-medoids and k-medoids. However conventional k-medoids clustering algorithm suffers from many limitations ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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