OLAP Services - Northwestern University Information Technology
... In the OLAP world, there are mainly three different types to physical representation of Data Warehouse data ...
... In the OLAP world, there are mainly three different types to physical representation of Data Warehouse data ...
Database Systems: Design, Implementation, and
... Summary of Chapters 2, 12, 14: Data models A data model is an abstract way of thinking about how data is organized Although the relational model has become the dominant data model, it cannot solve all database challenges The Object-Oriented Data Model is useful for complex data coupled with o ...
... Summary of Chapters 2, 12, 14: Data models A data model is an abstract way of thinking about how data is organized Although the relational model has become the dominant data model, it cannot solve all database challenges The Object-Oriented Data Model is useful for complex data coupled with o ...
multi-dimensional views of data
... • Users want to look at trends in all aspects of their business e.g. sales trends, market trends etc. • A series of numbers representing a particular variable over time is called a time series e.g.. 52 weekly sales numbers is a time series. • Utilising a time-series data type allows you to store an ...
... • Users want to look at trends in all aspects of their business e.g. sales trends, market trends etc. • A series of numbers representing a particular variable over time is called a time series e.g.. 52 weekly sales numbers is a time series. • Utilising a time-series data type allows you to store an ...
OLAP - WordPress.com
... They use multidimensional data analysis techniques. - data are processed and viewed as part of a multidimensional structure.This type of data analysis is particularly attractive to business decision makers because they tend to view business data as data that are related to other business data. ...
... They use multidimensional data analysis techniques. - data are processed and viewed as part of a multidimensional structure.This type of data analysis is particularly attractive to business decision makers because they tend to view business data as data that are related to other business data. ...
The NEON data model, accessed through
... NetCDF is a community-standard scientific data file format supported by a large number of existing applications and well-maintained libraries. Because the ecological community and NEON itself use NetCDF already, we chose NetCDF as our common intermediate data format. The Common Data Services layer o ...
... NetCDF is a community-standard scientific data file format supported by a large number of existing applications and well-maintained libraries. Because the ecological community and NEON itself use NetCDF already, we chose NetCDF as our common intermediate data format. The Common Data Services layer o ...
D Data Warehousing and OLAP
... One idea for constructing a data warehouse can be to apply a traditional design, using an entity-relationship or UML-like conceptual model, and transform it into a relational or an object-relational database, integrating all the sources of information into one highly normalized, off-the-shelf databa ...
... One idea for constructing a data warehouse can be to apply a traditional design, using an entity-relationship or UML-like conceptual model, and transform it into a relational or an object-relational database, integrating all the sources of information into one highly normalized, off-the-shelf databa ...
DB Application Programming
... • Full dataset read from DB at query execution time • Dataset cached locally in mem • Can disconnect from DB • Implemented using DataReader (Adapter) • + random data access • - Limited scalability • - initial read very slow ...
... • Full dataset read from DB at query execution time • Dataset cached locally in mem • Can disconnect from DB • Implemented using DataReader (Adapter) • + random data access • - Limited scalability • - initial read very slow ...
Chapter 8: Data and Knowledge Management
... – Manage the overall database environment by providing facilities for: • Backup and recovery • Security management ...
... – Manage the overall database environment by providing facilities for: • Backup and recovery • Security management ...
Michelmersh Group Plc uses eSight®
... that data until connection is re-established – no matter how long that takes. Also, missing data alarms in eSight would trigger through the Alarms module functionality, notifying the proper personnel of the issue with preestablished priority levels and protocols on how to alert the right people via ...
... that data until connection is re-established – no matter how long that takes. Also, missing data alarms in eSight would trigger through the Alarms module functionality, notifying the proper personnel of the issue with preestablished priority levels and protocols on how to alert the right people via ...
SciSpark 201
... How to extract variable from file? Handling multidimensional data as Hadoop env is Java based ...
... How to extract variable from file? Handling multidimensional data as Hadoop env is Java based ...
Galaxy Data Warehouse
... eMillennium is a point-and-click analytical application created with executives and upper management in mind. This tool enables all users of a hospital to immediately retrieve information from many critical sources for better decision-making. It is designed for the users to intuitively navigate thro ...
... eMillennium is a point-and-click analytical application created with executives and upper management in mind. This tool enables all users of a hospital to immediately retrieve information from many critical sources for better decision-making. It is designed for the users to intuitively navigate thro ...
Relational Databases for the Business Analyst
... to store information about it’s customers, transactions, inventory, manufacturing processes, etc Once data has been collected it becomes the basis for all business activity Data can then be reported on, managed, updated as new information becomes available The RDBMS is the Heart of the business ...
... to store information about it’s customers, transactions, inventory, manufacturing processes, etc Once data has been collected it becomes the basis for all business activity Data can then be reported on, managed, updated as new information becomes available The RDBMS is the Heart of the business ...
Document
... Canadian financial organization is interested in building a data warehouse to analyze customers’ credit payments over time, location where the payments were made, customers, and types of credit cards. A customer may use the credit card to make a payment in different locations across the country and ...
... Canadian financial organization is interested in building a data warehouse to analyze customers’ credit payments over time, location where the payments were made, customers, and types of credit cards. A customer may use the credit card to make a payment in different locations across the country and ...
Why use regression analyses!!!!
... Research databases either from business organizations, universities or research centers are usually created from transactional data. More often than not these databases contain information that goes undetected by the organizations and their researchers, and fails to be recognized and used by the org ...
... Research databases either from business organizations, universities or research centers are usually created from transactional data. More often than not these databases contain information that goes undetected by the organizations and their researchers, and fails to be recognized and used by the org ...
Data Warehouses and OLAP What are data warehousing
... joins needed for each query ROLAP extends SQL for decision support data requests Bitmapped indexes more useful than B-trees in handling large amount of data ...
... joins needed for each query ROLAP extends SQL for decision support data requests Bitmapped indexes more useful than B-trees in handling large amount of data ...
Data Mining (2014) - UP College of Engineering Library
... is the development of computational algorithms for the identification or extraction of structure from data. This is done in order to help reduce, model, understand, or analyze the data. Tasks supported by data mining include prediction, segmentation, dependency modeling, summarization, and change an ...
... is the development of computational algorithms for the identification or extraction of structure from data. This is done in order to help reduce, model, understand, or analyze the data. Tasks supported by data mining include prediction, segmentation, dependency modeling, summarization, and change an ...
1. introduction - Department of Computer Science
... Little is known about the long-term implications of a harvestbased digital library, but we have had the following initial experiences. The effort of maintaining a quality federation service is highly dependant on the quality of the data providers. Some are meticulous in maintaining exacting metadata ...
... Little is known about the long-term implications of a harvestbased digital library, but we have had the following initial experiences. The effort of maintaining a quality federation service is highly dependant on the quality of the data providers. Some are meticulous in maintaining exacting metadata ...
Territories, country subdivisions and interdependent data sets
... Territories, country subdivisions and interdependent data sets General information A country can be linked to a dependency or to another area/territory of particular geopolitical interest. As a result of these complex relationships, their addressing systems may be identical, similar or different, an ...
... Territories, country subdivisions and interdependent data sets General information A country can be linked to a dependency or to another area/territory of particular geopolitical interest. As a result of these complex relationships, their addressing systems may be identical, similar or different, an ...
031914_CDB Core_Data Management SOP
... a. The CDB Equipment Resource does not provide data storage on any core computer. All Resource Users are encouraged to save all data files immediately to an external storage device. b. The CDB Equipment Resource is not required to provide internet on core computers for the purpose of emailing data f ...
... a. The CDB Equipment Resource does not provide data storage on any core computer. All Resource Users are encouraged to save all data files immediately to an external storage device. b. The CDB Equipment Resource is not required to provide internet on core computers for the purpose of emailing data f ...
1660-6380 Newsletter 13.0
... paper well file and our well count. The main issue was how to build the Electronic Well File for over 500 wells. We decided to build a “mini” well file for each well beginning with the wells drilled or completed prior to implementing WellView and working back through the years of drilling and acquis ...
... paper well file and our well count. The main issue was how to build the Electronic Well File for over 500 wells. We decided to build a “mini” well file for each well beginning with the wells drilled or completed prior to implementing WellView and working back through the years of drilling and acquis ...
download
... the fundamental means of making a data warehouse really useful. They enable integration across time and subject areas, making it easier to learn how to use and to understand the data warehouse, and simplifying design and maintenance of the data warehouse. As the following pages make clear, both stan ...
... the fundamental means of making a data warehouse really useful. They enable integration across time and subject areas, making it easier to learn how to use and to understand the data warehouse, and simplifying design and maintenance of the data warehouse. As the following pages make clear, both stan ...
3. Personal data
... The computer can store far more information than a human. It can draw on a wide variety of sources such as stored knowledge from books case studies to help in diagnosis and advice. The computer does not 'forget' or make mistakes. Data can be kept up-to-date. The expert system is always available 24 ...
... The computer can store far more information than a human. It can draw on a wide variety of sources such as stored knowledge from books case studies to help in diagnosis and advice. The computer does not 'forget' or make mistakes. Data can be kept up-to-date. The expert system is always available 24 ...
Diapositiva 1 - Istituto Nazionale di Fisica Nucleare
... monitoring both the hardware and the software. In our approach we use both visualization tools and Grid services to make this monitoring possible. The use of visualization enables us to represent in a single computer screen all those million channels at once. The Grid will make it possible to get en ...
... monitoring both the hardware and the software. In our approach we use both visualization tools and Grid services to make this monitoring possible. The use of visualization enables us to represent in a single computer screen all those million channels at once. The Grid will make it possible to get en ...
following interview
... Vanderbilt Medical School to build a framework for understanding and managing risks in disseminating genomic data. Another area that we are very interested in is developing techniques for securely managing data that is stored in public clouds. In this Air Force-funded project, we are using a novel c ...
... Vanderbilt Medical School to build a framework for understanding and managing risks in disseminating genomic data. Another area that we are very interested in is developing techniques for securely managing data that is stored in public clouds. In this Air Force-funded project, we are using a novel c ...
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.""