On-line Analytical Processing OLAP
... An OLAP system is characterized as: being Fast – The system is designed to deliver relevant data to users quickly and efficiently; suitable for ‘real-time’ analysis facilitating Analysis – The capability to have users extract not only “raw” data but data that they “calculate” on the fly. being Share ...
... An OLAP system is characterized as: being Fast – The system is designed to deliver relevant data to users quickly and efficiently; suitable for ‘real-time’ analysis facilitating Analysis – The capability to have users extract not only “raw” data but data that they “calculate” on the fly. being Share ...
Information Visualization and Visual Data Mining
... is also well adapted to areas like homeland security, market basket analysis, or intrusion detection. ...
... is also well adapted to areas like homeland security, market basket analysis, or intrusion detection. ...
Big Data: A Brief investigation on NoSQL Databases Roshni
... As the usage of information technology has increased in the world, the Data generation from various resources has unexpectedly increased. The technology for handling the vast amount of data has not developed as compared to the data generation. Traditional database systems are unable to handle the in ...
... As the usage of information technology has increased in the world, the Data generation from various resources has unexpectedly increased. The technology for handling the vast amount of data has not developed as compared to the data generation. Traditional database systems are unable to handle the in ...
data warehousing olap project description
... Using this tool we can create reports and do necessary analysis with them. This wizard is very efficient from an end user perspective as the user does not need to know the complete schema of the tables. He just needs to know the tables and what type of data it contains. Follow the steps given below ...
... Using this tool we can create reports and do necessary analysis with them. This wizard is very efficient from an end user perspective as the user does not need to know the complete schema of the tables. He just needs to know the tables and what type of data it contains. Follow the steps given below ...
CDR - NCOR
... individuals and tissues. Colors and shapes show variations between people and within individuals. The Genotype-Tissue Expression (GTEx) Consortium examined postmortem tissue to document how genetic variants confer differences in gene expression across the human body. See pages 618, 640, 648, 660, an ...
... individuals and tissues. Colors and shapes show variations between people and within individuals. The Genotype-Tissue Expression (GTEx) Consortium examined postmortem tissue to document how genetic variants confer differences in gene expression across the human body. See pages 618, 640, 648, 660, an ...
Data Mart - KV Institute of Management and Information Studies
... transforming a high – level query ( like SQL ) into a correct and efficient execution plan expressed in low level language that performs the required retrieval and manipulation in the database. ...
... transforming a high – level query ( like SQL ) into a correct and efficient execution plan expressed in low level language that performs the required retrieval and manipulation in the database. ...
Study Spatial data and Attribute data and Sequential data in...
... SQL. The spatial data is used to querying and surveying. The manipulation of spatial data is implemented by the special vector and cartography software system. Because it must spend some time to transfer graphical data to spatial data and it is the big difficulties that we face. therefore, we will s ...
... SQL. The spatial data is used to querying and surveying. The manipulation of spatial data is implemented by the special vector and cartography software system. Because it must spend some time to transfer graphical data to spatial data and it is the big difficulties that we face. therefore, we will s ...
Analysis and Comparison of Data Mining Tools Using Case
... companies and allocation of funds etc. A data warehouse is the core of any decision support system. Typically, the data warehouse is separate from the organization’s operational databases. KSUL data warehouse [3] included tools for extracting data from multiple operational databases and external sou ...
... companies and allocation of funds etc. A data warehouse is the core of any decision support system. Typically, the data warehouse is separate from the organization’s operational databases. KSUL data warehouse [3] included tools for extracting data from multiple operational databases and external sou ...
ATLAS Distributed Computing - Indico
... The Rucio project (rucio.cern.ch) is the next generation Distributed Data Management (DDM) system for allowing the ATLAS collaboration to manage large volumes of data (tens of petabytes per year), both taken by the detector as well as generated in the ATLAS distributed computing system. Challeng ...
... The Rucio project (rucio.cern.ch) is the next generation Distributed Data Management (DDM) system for allowing the ATLAS collaboration to manage large volumes of data (tens of petabytes per year), both taken by the detector as well as generated in the ATLAS distributed computing system. Challeng ...
ISSUES CONCERNING THE IMPACT OF THE OBJECT
... operational data are accumulated so that other specialized tools (e.g. Data Mining tools) could do analytical processing on complex time series. Therefore, the "stake" for DW is to gather and prepare data using complex (multidimensional) processing procedures for subject-oriented analytical investig ...
... operational data are accumulated so that other specialized tools (e.g. Data Mining tools) could do analytical processing on complex time series. Therefore, the "stake" for DW is to gather and prepare data using complex (multidimensional) processing procedures for subject-oriented analytical investig ...
Slides - Zhangxi Lin`s homepage
... View 10 companies’ webpage to see the updates. Input the summaries into a database Browse three popular magazines twice a week. Input the summaries into a database Generate a few one-way frequency and two-way frequency tables and put them on the web Merge datasets collected by other people into a ma ...
... View 10 companies’ webpage to see the updates. Input the summaries into a database Browse three popular magazines twice a week. Input the summaries into a database Generate a few one-way frequency and two-way frequency tables and put them on the web Merge datasets collected by other people into a ma ...
Extreme Performance Data Warehousing
... • Enrich BI with map visualization of Oracle Spatial data • Enable location analysis in reporting, alerts and notifications • Use maps to guide data navigation, filtering and drill-down • Increase ROI from geospatial and non-spatial data ...
... • Enrich BI with map visualization of Oracle Spatial data • Enable location analysis in reporting, alerts and notifications • Use maps to guide data navigation, filtering and drill-down • Increase ROI from geospatial and non-spatial data ...
EnzymeTracker: A Web-based System for Sample Tracking with Customizable Reports
... particular numbers and dates in Excel. Spreadsheets are also inefficient to handle sparse data, both in terms of storage and performance. Storage is less of a concern nowadays as costs have dramatically decreased in the past few years. However, it should still be taken into consideration when handli ...
... particular numbers and dates in Excel. Spreadsheets are also inefficient to handle sparse data, both in terms of storage and performance. Storage is less of a concern nowadays as costs have dramatically decreased in the past few years. However, it should still be taken into consideration when handli ...
Slides - Zhangxi Lin - Texas Tech University
... MapReduce MapReduce is a framework for processing parallelizable problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster or a grid. ...
... MapReduce MapReduce is a framework for processing parallelizable problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster or a grid. ...
Discovering Computers 2007
... Window on screen that provides areas for entering or changing data in database Used to retrieve and maintain data in a database Form that sends data across network or Internet is called e-form, short for ...
... Window on screen that provides areas for entering or changing data in database Used to retrieve and maintain data in a database Form that sends data across network or Internet is called e-form, short for ...
Role of Data Mining in E-Payment systems
... to the association rules in data mining. In the latter case, rule-mining algorithms propose the correlation of item sets in a database, across various attributes of the transactions. For instance, rules could be of the form if a customer visits Page A.html, 90% of the times she will also visit Page ...
... to the association rules in data mining. In the latter case, rule-mining algorithms propose the correlation of item sets in a database, across various attributes of the transactions. For instance, rules could be of the form if a customer visits Page A.html, 90% of the times she will also visit Page ...
Corporate Information Analysis Technologies
... generated quickly. A number of vendors provide products that use multidimensional databases. Approaches to how data is stored and the user interface vary. Conceptually, a multidimensional database uses the idea of a data cube to represent the dimensions of data available to a user. For example, "sal ...
... generated quickly. A number of vendors provide products that use multidimensional databases. Approaches to how data is stored and the user interface vary. Conceptually, a multidimensional database uses the idea of a data cube to represent the dimensions of data available to a user. For example, "sal ...
Slides - Zhangxi Lin`s - Texas Tech University
... Generate a few one-way frequency and two-way frequency tables and put them on the web Merge datasets collected by other people into a main database. Prepare a weekly report using the database and at 4p every Monday, and publish it to the internal portal site. Prepare a monthly report at 11a on the f ...
... Generate a few one-way frequency and two-way frequency tables and put them on the web Merge datasets collected by other people into a main database. Prepare a weekly report using the database and at 4p every Monday, and publish it to the internal portal site. Prepare a monthly report at 11a on the f ...
A Survey of Migration from Traditional Relational Databases towards
... collect at unprecedented rates.There is a enormous challenge not to accumulate and handle the large capacity of data, but also extract important information from it. There are several approaches to processing storing, collecting, and analyzing big data. In a traditional relational databases manageme ...
... collect at unprecedented rates.There is a enormous challenge not to accumulate and handle the large capacity of data, but also extract important information from it. There are several approaches to processing storing, collecting, and analyzing big data. In a traditional relational databases manageme ...
Data Warehousing – CG124
... We need to clean and process operational data before putting it into the warehouse. We can do this programmatically, although most data warehouses use a staging area instead. A staging area simplifies building summaries and general warehouse management. Database Administration (CG168) – Lecture 10a: ...
... We need to clean and process operational data before putting it into the warehouse. We can do this programmatically, although most data warehouses use a staging area instead. A staging area simplifies building summaries and general warehouse management. Database Administration (CG168) – Lecture 10a: ...
Business Intelligence Tools in a Developmental Environment: An
... Use of BI can be directly correlated with increased profits. Continental Airlines realized a return of investment of more than 1000 percent, investing roughly $30 million into its BI infrastructure and creating additional revenue streams of more than $500 million (AndersonLehman, Watson, Wixom, & Ho ...
... Use of BI can be directly correlated with increased profits. Continental Airlines realized a return of investment of more than 1000 percent, investing roughly $30 million into its BI infrastructure and creating additional revenue streams of more than $500 million (AndersonLehman, Watson, Wixom, & Ho ...
Backup is not Archive-Handout .pages
... needed for daily operations. This inactive or cold data is not modified and is only accessed occasionally for historical reference or not at all. Typically, data is considered as cold data if it has not been accessed or modified in over 90 days. The challenge with the archive data set is that no one ...
... needed for daily operations. This inactive or cold data is not modified and is only accessed occasionally for historical reference or not at all. Typically, data is considered as cold data if it has not been accessed or modified in over 90 days. The challenge with the archive data set is that no one ...
Big Data Mining Tools for Unstructured Data: A Review
... Exabyte to 40,000 Exabyte representing a double growth every two years. The data generated with this rate is named as Big Data [2] Traditional data management and analysis system is based on structured data, therefore, systems like Relational database management system(RDBMS) are not adequate to pro ...
... Exabyte to 40,000 Exabyte representing a double growth every two years. The data generated with this rate is named as Big Data [2] Traditional data management and analysis system is based on structured data, therefore, systems like Relational database management system(RDBMS) are not adequate to pro ...
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 ...
... 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 ...
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.""