Grouping multiple data sources into a single
... existing Data Source Group they are listed here. There is no limit to the number of groups you can create. A data source group must have a unique name. You can enter a description to further help identify the group, but that is optional. DataDirect Cloud creates each entity name by concatenating the ...
... existing Data Source Group they are listed here. There is no limit to the number of groups you can create. A data source group must have a unique name. You can enter a description to further help identify the group, but that is optional. DataDirect Cloud creates each entity name by concatenating the ...
SeaDataNet, Pan-European infrastructure for marine and ocean
... Marine Data are relevant for many uses: • Scientific Research to gain knowledge and insight • Monitoring and assessment (water quality, climate status, stock assessment) • Coastal Zone Management • Modelling (including hindcast, now-cast, forecast) • Dimensioning and supporting operations and ...
... Marine Data are relevant for many uses: • Scientific Research to gain knowledge and insight • Monitoring and assessment (water quality, climate status, stock assessment) • Coastal Zone Management • Modelling (including hindcast, now-cast, forecast) • Dimensioning and supporting operations and ...
Data
... • The process of gathering enough of the right information in a timely manner and usable form and analyzing it to have a positive impact on business strategy, tactics, or operations • Competitive Intelligence • Counter Intelligence ...
... • The process of gathering enough of the right information in a timely manner and usable form and analyzing it to have a positive impact on business strategy, tactics, or operations • Competitive Intelligence • Counter Intelligence ...
Abbreviations
... It is well known that the analytical systems data schemes are based on some principles that have already become traditional. We are talking about the concept of data warehouse or OLAP which is an approach to design that focuses on fast querying of a specific type which is required in the reporting s ...
... It is well known that the analytical systems data schemes are based on some principles that have already become traditional. We are talking about the concept of data warehouse or OLAP which is an approach to design that focuses on fast querying of a specific type which is required in the reporting s ...
A Comparsion of Databases and Data Warehouses
... 1990 - object-oriented databases 2000 - XML database ...
... 1990 - object-oriented databases 2000 - XML database ...
Chapter 1: Introduction
... : How long after transactions occur do I get my information? Format ...
... : How long after transactions occur do I get my information? Format ...
Database
... Those of you familiar with Access know that it has a built-in form and report designer. However, keep in mind that we would normally be accessing a database stored in SqlServer, which does not have built-in tools. ...
... Those of you familiar with Access know that it has a built-in form and report designer. However, keep in mind that we would normally be accessing a database stored in SqlServer, which does not have built-in tools. ...
OpenText: Big-Data Analytics
... OpenText Big Data Analytics can read virtually any data source, from the simplest flat files to your most complex databases and online data sets, so data from all sources is available in one place. Accessing CSV files is a do-it-yourself operation for users, and OpenText experts facilitate connectio ...
... OpenText Big Data Analytics can read virtually any data source, from the simplest flat files to your most complex databases and online data sets, so data from all sources is available in one place. Accessing CSV files is a do-it-yourself operation for users, and OpenText experts facilitate connectio ...
Luku 5 * Tietojen hakeminen sovelluksiin
... Therefore your can write your Windows 8 application's interface in Visual Studio and the background system in Python or PHP if you so wish. • There are, however, several advantages to writing also the background system in Visual Studio, as you don't need to use two development tools or more. Additio ...
... Therefore your can write your Windows 8 application's interface in Visual Studio and the background system in Python or PHP if you so wish. • There are, however, several advantages to writing also the background system in Visual Studio, as you don't need to use two development tools or more. Additio ...
Data Warehouse and OLAP
... Not optimized for complex data analysis Usually do not hold historical data ...
... Not optimized for complex data analysis Usually do not hold historical data ...
What is Pan-STARRS? - SLAC Conference Services
... Tables are sliced into ranges of ObjectID, which correspond to broad declination ranges ObjectID boundaries are selected so that each slice has a similar number of objects Distributed Partitioned Views “glue” the data ...
... Tables are sliced into ranges of ObjectID, which correspond to broad declination ranges ObjectID boundaries are selected so that each slice has a similar number of objects Distributed Partitioned Views “glue” the data ...
British Oceanographic Data Centre (BODC)
... • BODC have wide-ranging experience of managing projects similar to SSB, on an ‘end-to-end’ basis • Data management at BODC facilitates the exchange of quality-controlled and documented data sets within the project community. • BODC are here to help you! • We’re already doing extra ‘added value’ wor ...
... • BODC have wide-ranging experience of managing projects similar to SSB, on an ‘end-to-end’ basis • Data management at BODC facilitates the exchange of quality-controlled and documented data sets within the project community. • BODC are here to help you! • We’re already doing extra ‘added value’ wor ...
Chapter 6
... Representation of organizational data Purpose is to show rules about the meaning and interrelationships among data Entity-Relationship (E-R) diagrams are commonly used to show how data are organized Consistency must be maintained between process flow, decision logic and data modeling descriptions ...
... Representation of organizational data Purpose is to show rules about the meaning and interrelationships among data Entity-Relationship (E-R) diagrams are commonly used to show how data are organized Consistency must be maintained between process flow, decision logic and data modeling descriptions ...
IT Strategy - STMIK AMIKOM Yogyakarta
... data, whether a traditional name or address, an entire spreadsheet, a video clip, a voice annotation, a photograph, or a segment of music. The tenets of objects have become increasingly important in the world of computing. They become even more important in the world of Web Services because the XML ...
... data, whether a traditional name or address, an entire spreadsheet, a video clip, a voice annotation, a photograph, or a segment of music. The tenets of objects have become increasingly important in the world of computing. They become even more important in the world of Web Services because the XML ...
IS-class - CSE, IIT Bombay
... continually growing. • Storage and processing getting cheaper • Wealth of information hidden in the flood of data • Conventional querying/analysis methods did not scale • Need new ways of interaction Data warehousing and Data mining ...
... continually growing. • Storage and processing getting cheaper • Wealth of information hidden in the flood of data • Conventional querying/analysis methods did not scale • Need new ways of interaction Data warehousing and Data mining ...
Lecture 3 Fall 2004 PowerPoint
... What are databases and data base management systems (DBMS)? What is a relational data base model? How are databases linked with GIS? How do we get paper maps into the computer? How can we edit and convert data? ...
... What are databases and data base management systems (DBMS)? What is a relational data base model? How are databases linked with GIS? How do we get paper maps into the computer? How can we edit and convert data? ...
IST722 Data Warehousing
... • The Integration & Transformation Layer transforms transactional data into corporate data. • The Operational Data Store contains consolidated, non-historical data. • The Enterprise Data Warehouse contains consolidated historical data. • Data marts are tailored to the informational needs of a depart ...
... • The Integration & Transformation Layer transforms transactional data into corporate data. • The Operational Data Store contains consolidated, non-historical data. • The Enterprise Data Warehouse contains consolidated historical data. • Data marts are tailored to the informational needs of a depart ...
Creating a Database
... common methods for accessing the database held in database management system ...
... common methods for accessing the database held in database management system ...
Mobile Offline First for inclusive data that spans the data divide
... • The key to the approach is that (most) applications can be remodelled as a set of atomic data objects • Declaratively using xml (or json) to define the SDO. (Relational databases are not suitable) • With javascript and html renderers to interpret and execute the SDO as a micro application. ...
... • The key to the approach is that (most) applications can be remodelled as a set of atomic data objects • Declaratively using xml (or json) to define the SDO. (Relational databases are not suitable) • With javascript and html renderers to interpret and execute the SDO as a micro application. ...
Title: An overview of data governance (Elevator level information
... Data governance has become an overused term in our industry. Depending on context, the main responsibility of the data governance function can refer to any or all of: Setting the direction of Master Data Management efforts Deciding who in the organization will create, approve, enforce and monito ...
... Data governance has become an overused term in our industry. Depending on context, the main responsibility of the data governance function can refer to any or all of: Setting the direction of Master Data Management efforts Deciding who in the organization will create, approve, enforce and monito ...
Predix - GE.com
... Scalable framework for data ingestion and management Data in the industrial world is growing faster than any other sector, and yet less than 3% of that data is tagged and used in a meaningful way. Industrial data is also messy and moving fast —arriving as multi-terabyte streams in different formats ...
... Scalable framework for data ingestion and management Data in the industrial world is growing faster than any other sector, and yet less than 3% of that data is tagged and used in a meaningful way. Industrial data is also messy and moving fast —arriving as multi-terabyte streams in different formats ...
Concepts about BI, data mining and datawarehouse.
... Data analysis and data warehousing: After perfoming the extracting, transforming and loading, the resulting data should be stored into an appropriate data storage system. A very important aspect of a BI solution is the design and implementation of the way the system data will be stored, in order to ...
... Data analysis and data warehousing: After perfoming the extracting, transforming and loading, the resulting data should be stored into an appropriate data storage system. A very important aspect of a BI solution is the design and implementation of the way the system data will be stored, in order to ...
$doc.title
... Your mission is to create new digital experiences that extend your business to the phones people carry, the technology they wear, and the vehicles they drive. If you nail the user experience you see viral growth, which leads to increased customer loyalty and better business. Fast, non-stop delivery ...
... Your mission is to create new digital experiences that extend your business to the phones people carry, the technology they wear, and the vehicles they drive. If you nail the user experience you see viral growth, which leads to increased customer loyalty and better business. Fast, non-stop delivery ...
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk.Analysis of data sets can find new correlations, to ""spot business trends, prevent diseases, combat crime and so on."" Scientists, business executives, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research.Data sets grow in size in part because they are increasingly being gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×1018) of data were created; The challenge for large enterprises is determining who should own big data initiatives that straddle the entire organization.Work with big data is necessarily uncommon; most analysis is of ""PC size"" data, on a desktop PC or notebook that can handle the available data set.Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires ""massively parallel software running on tens, hundreds, or even thousands of servers"". What is considered ""big data"" varies depending on the capabilities of the users and their tools, and expanding capabilities make Big Data a moving target. Thus, what is considered ""big"" one year becomes ordinary later. ""For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.""