Data Warehouse
... Loosely speaking, a data warehouse refers to a database that is maintained separately from an organization’s operational database ...
... Loosely speaking, a data warehouse refers to a database that is maintained separately from an organization’s operational database ...
Class_05 - UNC School of Information and Library Science
... What is Metadata? • Classic definition: data about data • Metadata is structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource. (NISO) • 3 primary “types”: – Descriptive – Structural – Administrative (rights managemen ...
... What is Metadata? • Classic definition: data about data • Metadata is structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource. (NISO) • 3 primary “types”: – Descriptive – Structural – Administrative (rights managemen ...
CS-414 Data Warehousing and Data Mining
... Heterogeneous means not only the operating system is different but so is the underlying file format, different databases, and even with same database systems different representations for the same entity. This could be anything from different columns names to different data types for the same entity ...
... Heterogeneous means not only the operating system is different but so is the underlying file format, different databases, and even with same database systems different representations for the same entity. This could be anything from different columns names to different data types for the same entity ...
Data Matching
... Three tasks: Schema matching Data matching Data fusion Challenges: Lack of unique entity identifier and data quality Computation complexity Lack of training data (e.g. gold standards) Privacy and confidentiality (health informatics & data mining) ...
... Three tasks: Schema matching Data matching Data fusion Challenges: Lack of unique entity identifier and data quality Computation complexity Lack of training data (e.g. gold standards) Privacy and confidentiality (health informatics & data mining) ...
MODUL 11 Designing Databases(2)
... – A restricted database updates or deletes a key only if there are no matching child records – A cascaded database will delete or update all child records when a parent record is deleted or changed ...
... – A restricted database updates or deletes a key only if there are no matching child records – A cascaded database will delete or update all child records when a parent record is deleted or changed ...
Slide 1
... Declining ability of the National Hydrological Services (NHSs) and related water agencies to provide information on the status and trend of water resources • Inadequate / deteriorating systems for collecting and managing water-resources related information • Little or no-quality assurance & control ...
... Declining ability of the National Hydrological Services (NHSs) and related water agencies to provide information on the status and trend of water resources • Inadequate / deteriorating systems for collecting and managing water-resources related information • Little or no-quality assurance & control ...
The Need for Data Structures
... 1 Reinforce the concept that there are costs and benefits for every data structure. 2 Learn the commonly used data structures. – These form a programmer’s basic data structure ...
... 1 Reinforce the concept that there are costs and benefits for every data structure. 2 Learn the commonly used data structures. – These form a programmer’s basic data structure ...
The ArrayExpress Gene Expression Database: a Software
... Conclusions • Conceptual object modeling works well for complex life sciences domains • Many software infrastructure components can be auto-generated from object models • A range of approaches can be used for modeling, e.g., UML framework + ...
... Conclusions • Conceptual object modeling works well for complex life sciences domains • Many software infrastructure components can be auto-generated from object models • A range of approaches can be used for modeling, e.g., UML framework + ...
Supervised and unsupervised data mining techniques for
... chemical structures, XML and images, and for being able to access distributed data whether it is in relational or flat file format. However, scientists are less aware of the range of analytical capabilities built into the database, which include statistics, online analytical processing, sequence mat ...
... chemical structures, XML and images, and for being able to access distributed data whether it is in relational or flat file format. However, scientists are less aware of the range of analytical capabilities built into the database, which include statistics, online analytical processing, sequence mat ...
Privacy-Preserving Utility Verification of the Data
... A lot of privacy models and corresponding anonymization mechanisms have been proposed in the literature such as k-anonymity and differential privacy. k-anonymity and its variants (e.g. l-diversity and t-closeness protect privacy by generalizing the records such that they cannot be distinguished ...
... A lot of privacy models and corresponding anonymization mechanisms have been proposed in the literature such as k-anonymity and differential privacy. k-anonymity and its variants (e.g. l-diversity and t-closeness protect privacy by generalizing the records such that they cannot be distinguished ...
Source：International World Wide Web Conference
... Mapping discrete values into a standard format improves the quality of the extracted data. Homogenization of discrete values and measured values is performed in ANDES with a combination of conditional statements, regular expressions, and domain-specific knowledge encapsulated in the XSLT code. ...
... Mapping discrete values into a standard format improves the quality of the extracted data. Homogenization of discrete values and measured values is performed in ANDES with a combination of conditional statements, regular expressions, and domain-specific knowledge encapsulated in the XSLT code. ...
Data Warehouses and the Web - Computer Information Systems
... • Data volume – no upper limit • Response time – less than 10 seconds ...
... • Data volume – no upper limit • Response time – less than 10 seconds ...
Signal Theory - Unit 10 - Communication Technology
... • Bandwidth Limitation – Bandwidth limitation, also known as a bandwidth cap are put into place by internet service providers, they limit the speed of data transfer on a broadband internet connection. The more the user pays the higher for their internet service (such as fibre optic etc.) the higher ...
... • Bandwidth Limitation – Bandwidth limitation, also known as a bandwidth cap are put into place by internet service providers, they limit the speed of data transfer on a broadband internet connection. The more the user pays the higher for their internet service (such as fibre optic etc.) the higher ...
Lecture 12B: Online Analytical Processing
... OLAP tools enable users to interactively analyze multidimensional data from multiple perspectives. Purpose built databases configured for OLAP incorporate a multidimensional data model, allowing for complex analytical and ad-hoc queries with a rapid execution time. The data complex is referred to as ...
... OLAP tools enable users to interactively analyze multidimensional data from multiple perspectives. Purpose built databases configured for OLAP incorporate a multidimensional data model, allowing for complex analytical and ad-hoc queries with a rapid execution time. The data complex is referred to as ...
No Slide Title
... A Georelational to a Geodatabase Model • coverage and shapefile data structures – homogenous collections of points, lines, and polygons with generic, 1- and 2-dimensional "behavior" ...
... A Georelational to a Geodatabase Model • coverage and shapefile data structures – homogenous collections of points, lines, and polygons with generic, 1- and 2-dimensional "behavior" ...
PPTX 5.8 MB - Jeffery S. Horsburgh
... An organization representing more than one hundred United States universities, receives support from the National Science Foundation to develop infrastructure and services for the advancement of hydrologic science and education in the U.S. ...
... An organization representing more than one hundred United States universities, receives support from the National Science Foundation to develop infrastructure and services for the advancement of hydrologic science and education in the U.S. ...
Chapter 18: Data Analysis and Mining
... Interactive analysis of data, allowing data to be summarized and viewed in different ways in an online fashion (with negligible delay) ...
... Interactive analysis of data, allowing data to be summarized and viewed in different ways in an online fashion (with negligible delay) ...
Transmit Data Program - Frontline Test Equipment
... Key Features: 1. The Transmit Data program can be used to send data out through a PC’s built‐in serial ports. It can also work with serial port adapters that use Microsoft’s serial drivers (SERIAL.sys or SERIAL.vxd). 2. The Transmit Data program DOES NOT send data out through the RS‐232 ComProb ...
... Key Features: 1. The Transmit Data program can be used to send data out through a PC’s built‐in serial ports. It can also work with serial port adapters that use Microsoft’s serial drivers (SERIAL.sys or SERIAL.vxd). 2. The Transmit Data program DOES NOT send data out through the RS‐232 ComProb ...
zCon Solutions
... Written stored procedures to read the Logminer and apply the changes to ODS. Created cron jobs to run the daily process to transfer the changes from ODS to DW. Created automated batch process to run the complete Install. Created VBS jobs to run the Daily load process. ADH uses Oracle Log Miner to mi ...
... Written stored procedures to read the Logminer and apply the changes to ODS. Created cron jobs to run the daily process to transfer the changes from ODS to DW. Created automated batch process to run the complete Install. Created VBS jobs to run the Daily load process. ADH uses Oracle Log Miner to mi ...
Data Mining with Big Data ABSTRACT
... Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedic ...
... Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedic ...
Chapter 11 Question 3 a. Transient data can be overwritten with new
... remain in the database and either be supplemented with the new data or stored for posterity along newer entities created for newer data. b. A data warehouse is a non-updatable collection of data used for supporting management decisionmaking processes. A data mart is similar but more limited in scope ...
... remain in the database and either be supplemented with the new data or stored for posterity along newer entities created for newer data. b. A data warehouse is a non-updatable collection of data used for supporting management decisionmaking processes. A data mart is similar but more limited in scope ...
Data Mining with Big Data ABSTRACT
... Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedic ...
... Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedic ...
Data Mining with Big Data
... The challenges at Tier I focus on data accessing and arithmetic computing procedures. Because Big Data are often stored at different locations and data volumes may continuously grow, an effective computing platform will have to take distributed large-scale data storage into consideration for compu ...
... The challenges at Tier I focus on data accessing and arithmetic computing procedures. Because Big Data are often stored at different locations and data volumes may continuously grow, an effective computing platform will have to take distributed large-scale data storage into consideration for compu ...
Slide 1
... “Damage” often unnoticed at occurrence Who did what? When? Where? Non-governmental data provides coverage for possibly critical dates ...
... “Damage” often unnoticed at occurrence Who did what? When? Where? Non-governmental data provides coverage for possibly critical dates ...
Data center
A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and various security devices. Large data centers are industrial scale operations using as much electricity as a small town.