Big Data in Building Energy Efficiency: Understanding of Big Data
... Big data is a popular phenomenon that aims to provide an alternative to traditional solutions based on databases and data analysis. Big data is not just about storage or access to data; its solutions aim to analyze data in order to make sense of them and exploit their value. Big data refers to datas ...
... Big data is a popular phenomenon that aims to provide an alternative to traditional solutions based on databases and data analysis. Big data is not just about storage or access to data; its solutions aim to analyze data in order to make sense of them and exploit their value. Big data refers to datas ...
Extraction, Transformation, Loading (ETL) and Data Cleaning
... the desired data has to be identified and extracted from many different sources, including database systems and applications. Very often, it is not possible to identify the specific subset of interest; therefore, more data than is necessary has to be extracted; since the identification of the releva ...
... the desired data has to be identified and extracted from many different sources, including database systems and applications. Very often, it is not possible to identify the specific subset of interest; therefore, more data than is necessary has to be extracted; since the identification of the releva ...
Now - Allot Communications
... solutions that enable service providers to protect and personalize the digital experience. Allot’s flexible and highly scalable service delivery framework leverages the intelligence in data networks, enabling service providers to get closer to their customers, safeguard network assets and users, and ...
... solutions that enable service providers to protect and personalize the digital experience. Allot’s flexible and highly scalable service delivery framework leverages the intelligence in data networks, enabling service providers to get closer to their customers, safeguard network assets and users, and ...
Requirement Extraction for Open Data Platform Project: CANFAR
... An Open Data Platform (ODP) will be designed to foster the discovery, dissemination and exploitation of open data in cloud environments, also addressing the problem of co-location of data and computing for big data processing. Open Data Platform will provide a distributed data management solution al ...
... An Open Data Platform (ODP) will be designed to foster the discovery, dissemination and exploitation of open data in cloud environments, also addressing the problem of co-location of data and computing for big data processing. Open Data Platform will provide a distributed data management solution al ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... iterated static LOF algorithm (applied after insertion of each data record), while requiring significantly less computational time. In addition, the incremental LOF algorithm also dynamically updates the profiles of data points. This is a very important property, since data profiles may change over ...
... iterated static LOF algorithm (applied after insertion of each data record), while requiring significantly less computational time. In addition, the incremental LOF algorithm also dynamically updates the profiles of data points. This is a very important property, since data profiles may change over ...
Using SAS Data Sets to Mimic a Relational Database
... contains all the demographic information on each patient in the study. This includes such things age, sex, and the patient's initials. Also included is a unique number assigned to each patient as an identifier, PTNO. The keys for this data set are STUDYNO. INVNO and PTNO. ...
... contains all the demographic information on each patient in the study. This includes such things age, sex, and the patient's initials. Also included is a unique number assigned to each patient as an identifier, PTNO. The keys for this data set are STUDYNO. INVNO and PTNO. ...
HCLSIG_BioRDF_Subgroup$SW_eNeuroscience_HCLSIG2
... against multiple RDF datasets • The following two examples illustrate how such queries can be made to retrieve and integrate data from BrainPharm and SWAN ...
... against multiple RDF datasets • The following two examples illustrate how such queries can be made to retrieve and integrate data from BrainPharm and SWAN ...
Data Mining with Big Data e-Health Service Using Map
... following techniques are used. Online vs. Offline Big Data Big Data can take both online and offline forms. Online Big Data refers to data that is created, ingested, trans- formed, managed and/or analysed in real-time to support operational applications and their users. Big Data is born online. Late ...
... following techniques are used. Online vs. Offline Big Data Big Data can take both online and offline forms. Online Big Data refers to data that is created, ingested, trans- formed, managed and/or analysed in real-time to support operational applications and their users. Big Data is born online. Late ...
Is Data Staging Relational: A Comment
... file:///E|/FrontPage Webs/Content/EISWEB/DKMSDataStage.html ...
... file:///E|/FrontPage Webs/Content/EISWEB/DKMSDataStage.html ...
A Data Browsing from Various Sources Driven by the
... entity usually offer access to data via services. Such case study is described in [10]. By analyzing offered services we construct a data model. Instead of classical relation between two entities we use link that correspond to some service. Link states if we know data of source entity than we can ob ...
... entity usually offer access to data via services. Such case study is described in [10]. By analyzing offered services we construct a data model. Instead of classical relation between two entities we use link that correspond to some service. Link states if we know data of source entity than we can ob ...
An Introduction to NDG concepts
... – Concepts for MOLES-Browsing GUI under discussion – Relational Schema implementation due shortly – Web Service interface to XMLDB and relational-DB to follow. ...
... – Concepts for MOLES-Browsing GUI under discussion – Relational Schema implementation due shortly – Web Service interface to XMLDB and relational-DB to follow. ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... Cloud computing is a library of high storage data. Cloud Computing is a design philosophy separating the Operating System and Applications from the Hardware. Otherwise it can be explained as the process of disconnecting the application, Operating System and the hardware between themselves. Cloud Com ...
... Cloud computing is a library of high storage data. Cloud Computing is a design philosophy separating the Operating System and Applications from the Hardware. Otherwise it can be explained as the process of disconnecting the application, Operating System and the hardware between themselves. Cloud Com ...
OLAP Technology in Data Warehouses
... analytical processing (OLAP) technology, however, provides the scalability, performance and analytic capabilities necessary to support sophisticated, calculation-intensive queries for large user populations. For these reasons, relational and OLAP technologies are often combined for maximum benefits. ...
... analytical processing (OLAP) technology, however, provides the scalability, performance and analytic capabilities necessary to support sophisticated, calculation-intensive queries for large user populations. For these reasons, relational and OLAP technologies are often combined for maximum benefits. ...
Data Integration with Talend Open Studio Robert A. Nisbet, Ph.D.
... Transformation and Data Preparation Transformation applies a series of rules or functions to the extracted data from the source to derive the data for loading into the end target. Some data sources will require very little or even no manipulation of data. In other cases, one or more of the following ...
... Transformation and Data Preparation Transformation applies a series of rules or functions to the extracted data from the source to derive the data for loading into the end target. Some data sources will require very little or even no manipulation of data. In other cases, one or more of the following ...
Data Warehousing and CANDA Concepts for Biometry
... On this basis, standard data analysis tools can be used. These would include tools for data queries, data visualization and for standard reporting. They could be used across all projects and the environment would enable further development of the tools. For proj~~t specific requirements such as eff ...
... On this basis, standard data analysis tools can be used. These would include tools for data queries, data visualization and for standard reporting. They could be used across all projects and the environment would enable further development of the tools. For proj~~t specific requirements such as eff ...
data
... Duplicate records: Name:Jose Maria Silva, Birth:01/01/1950 and Name:José Maria Sliva, Birth:01/01/1950 Contradicting records: Name:José Maria Silva, Birth:01/01/1950 and Name:José Maria Silva, Birth:01/01/1956 Non-standardized data: José Maria Silva vs Silva, José Maria ...
... Duplicate records: Name:Jose Maria Silva, Birth:01/01/1950 and Name:José Maria Sliva, Birth:01/01/1950 Contradicting records: Name:José Maria Silva, Birth:01/01/1950 and Name:José Maria Silva, Birth:01/01/1956 Non-standardized data: José Maria Silva vs Silva, José Maria ...
technical handout - Logo of semweb LLC
... As you type in your search query – or partially type it in – you are provided with search suggestions that are acquired through the selected domain specific or domain encompassing Thesauri. Additional SKOS indications suggest abstractions, specifications, and synonyms of your search query and speed ...
... As you type in your search query – or partially type it in – you are provided with search suggestions that are acquired through the selected domain specific or domain encompassing Thesauri. Additional SKOS indications suggest abstractions, specifications, and synonyms of your search query and speed ...
Big Data for Advanced Threat Protection
... One of today’s hottest topics is the potential for big data technologies and techniques (Big Data) to help address information security (InfoSec) problems. At a macro level, this makes perfect sense. Big Data is proven in other areas of IT/business (e.g., web site analytics and fraud management), th ...
... One of today’s hottest topics is the potential for big data technologies and techniques (Big Data) to help address information security (InfoSec) problems. At a macro level, this makes perfect sense. Big Data is proven in other areas of IT/business (e.g., web site analytics and fraud management), th ...
Integrating Star and Snowflake Schemas in Data Warehouses
... Data Warehouse, Database, Logical Modeling, Nested Relation, Snowflake Schema, Star Schema ...
... Data Warehouse, Database, Logical Modeling, Nested Relation, Snowflake Schema, Star Schema ...
Customizing Clinical Data Warehouse for Business Intelligence
... 1) Extract data from relational databases For Clinical data mining setting, except some data cuts, most data extraction is indexed. That is, you are searching your data with specification of diagnosis, medication, lab, time etc. To perform the data query correctly, it is extremely important to use t ...
... 1) Extract data from relational databases For Clinical data mining setting, except some data cuts, most data extraction is indexed. That is, you are searching your data with specification of diagnosis, medication, lab, time etc. To perform the data query correctly, it is extremely important to use t ...
A prototype of Quality Data Warehouse in Steel Industry
... process this strip is again cut into coils. It is possible that the strip is cut in a different point respect to the welded point, so an input coil can be shared from more than one output coil and, vice versa, an output coil can be composed from more than one input coil. Data process, in the Acerali ...
... process this strip is again cut into coils. It is possible that the strip is cut in a different point respect to the welded point, so an input coil can be shared from more than one output coil and, vice versa, an output coil can be composed from more than one input coil. Data process, in the Acerali ...
What's All This Metadata Good For, Anyway? Using Metadata to Dynamically Generate SQL
... and does not need to reflect column or table location in the database. This interface is simply an easy way for the user to navigate through a vast list of fields available for extract from the database, without concern for the physical or logical location of the data. In this example, various icons ...
... and does not need to reflect column or table location in the database. This interface is simply an easy way for the user to navigate through a vast list of fields available for extract from the database, without concern for the physical or logical location of the data. In this example, various icons ...
How Data Integration Works Introduction to How Data Integration Works 8/24/2014
... class must have and which logic sequences, called methods, will affect those objects. The objects within a system can communicate with you or other objects using interfaces called messages. It's easier to understand with an example. Let's say you're building a database containing information about A ...
... class must have and which logic sequences, called methods, will affect those objects. The objects within a system can communicate with you or other objects using interfaces called messages. It's easier to understand with an example. Let's say you're building a database containing information about A ...
Data Protection Act, 2012
The Data Protection Act, 2012 (The Act) is legislation enacted by the Parliament of the Republic of Ghana to protect the privacy and personal data of individuals. It regulates the process personal information is acquired, kept, used or disclosed by data controllers and data processors by requiring compliance with certain data protection principles. Non compliance with provisions of the Act may attract either civil liability, or criminal sanctions, or both, depending on the nature of the infraction. The Act also establishes a Data Protection Commission, which is mandated to ensure compliance with its provisions, as well as maintain the Data Protection Register.