Introduction - CS 457/557 : Database Management Systems
... • DBs are a part of most decisions in an enterprise – Traditional DBs – Operational – Data Warehouses – Decision Support – NoSQL DBs – Information ...
... • DBs are a part of most decisions in an enterprise – Traditional DBs – Operational – Data Warehouses – Decision Support – NoSQL DBs – Information ...
D Data Mining: Payoffs and Pitfalls
... reason is the rise of data warehousing. In the past, it was often necessary to gather the data, cleanse it, and merge it. Now, in many cases, the data are already sitting in a data warehouse ready to be used. Over the last 40 years, the tools and techniques to process data and information have conti ...
... reason is the rise of data warehousing. In the past, it was often necessary to gather the data, cleanse it, and merge it. Now, in many cases, the data are already sitting in a data warehouse ready to be used. Over the last 40 years, the tools and techniques to process data and information have conti ...
Data Warehouse and OLAP Technology
... systematically organize, understand, and use their data to make strategic decisions. Data warehouses provide on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data, which facilitates effective data mining. Loosely speaking, a data warehouse refers to a datab ...
... systematically organize, understand, and use their data to make strategic decisions. Data warehouses provide on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data, which facilitates effective data mining. Loosely speaking, a data warehouse refers to a datab ...
Presentation - Directorate of Valuation
... all customs stations. · Consolidation and analysis electronically by DOV to identify potential cases of valuation fraud · Export Valuation Tool and Decision Support System. · Check abuse of export incentive schemes based on export value. · Check unscrupulous exporters going to smaller ...
... all customs stations. · Consolidation and analysis electronically by DOV to identify potential cases of valuation fraud · Export Valuation Tool and Decision Support System. · Check abuse of export incentive schemes based on export value. · Check unscrupulous exporters going to smaller ...
THE DATA MART: YOUR ONE-STOP
... organization. Because data marts have a narrower scope, the analysis process has less “ground to cover” and can be accomplished in a shorter duration. This results in a quicker implementation, allowing the organization to reap benefits (and ROI!) earlier. Benefits of a data mart include: 1. Accurac ...
... organization. Because data marts have a narrower scope, the analysis process has less “ground to cover” and can be accomplished in a shorter duration. This results in a quicker implementation, allowing the organization to reap benefits (and ROI!) earlier. Benefits of a data mart include: 1. Accurac ...
DACUM Research Chart for Geospatial Analyst
... Garmin: GPS Receivers BaseCamp GeoCue Google: Earth, Maps, SDK, Drive ...
... Garmin: GPS Receivers BaseCamp GeoCue Google: Earth, Maps, SDK, Drive ...
Database Confidentiality
... ◦ Data Security Expert provides file-level encryption because the underlying files in which data is stored is the primary point of attack. ◦ Data Security Expert’s “separation of duties” feature further restricts access to data by allowing system administrators and root users to maintain the system ...
... ◦ Data Security Expert provides file-level encryption because the underlying files in which data is stored is the primary point of attack. ◦ Data Security Expert’s “separation of duties” feature further restricts access to data by allowing system administrators and root users to maintain the system ...
Big Data - Science Mission
... • Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools. The challenges include capture, curation, storage, search, sharing, analysis, and visualization. The trend to larger data sets is due to the additional informati ...
... • Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools. The challenges include capture, curation, storage, search, sharing, analysis, and visualization. The trend to larger data sets is due to the additional informati ...
File - Data Management Conference Canada
... and strategic decision making. One of the main motivations of the authors was to offer an analytic platform to executives which could contribute to more effective and timely use of the information and take advantage of the experiences accumulated over than ten years. Microsoft provides two alternati ...
... and strategic decision making. One of the main motivations of the authors was to offer an analytic platform to executives which could contribute to more effective and timely use of the information and take advantage of the experiences accumulated over than ten years. Microsoft provides two alternati ...
MIS 301- Database
... result in your being able to answer these questions: How do knowledge workers use Access QBE to query a single-table database? How is Access QBE used to query multiple-table databases? How do knowledge workers use logical modeling to create effective relational database systems? How do you as a user ...
... result in your being able to answer these questions: How do knowledge workers use Access QBE to query a single-table database? How is Access QBE used to query multiple-table databases? How do knowledge workers use logical modeling to create effective relational database systems? How do you as a user ...
Q-nomy - Analyzing the Customer Experience
... the information stored in this database will enable the business to gain a complete insight into the customer experience. Microsoft SQL Server Analysis Services (SSAS) delivers online analytical processing (OLAP) and data mining functionality for business intelligence applications. Analysis Services ...
... the information stored in this database will enable the business to gain a complete insight into the customer experience. Microsoft SQL Server Analysis Services (SSAS) delivers online analytical processing (OLAP) and data mining functionality for business intelligence applications. Analysis Services ...
Data Warehouse
... Data is given to the computer for processing Data is collected from different sources for different purposes Data is a vital source for any organization Data is considered as a resource because it provides correct information for making proper and timely decisions ...
... Data is given to the computer for processing Data is collected from different sources for different purposes Data is a vital source for any organization Data is considered as a resource because it provides correct information for making proper and timely decisions ...
vandy_ibpgrid_05
... • NetCDF or HDF manages serialization of data to local file • Scientist can query for specific variables, ...
... • NetCDF or HDF manages serialization of data to local file • Scientist can query for specific variables, ...
Database Systems: Design, Implementation, and Management
... – The data you retrieve at any given moment might be wrong… but it will eventually become OK – This is the price to pay for rapid performance in a distributed ...
... – The data you retrieve at any given moment might be wrong… but it will eventually become OK – This is the price to pay for rapid performance in a distributed ...
Zortec Data Replication - Local Government Corporation
... SQL is required. Local Government Corporation can provide this application to our customers or we can work with your existing MS SQL install if you already have one. We may also elect to provide you with MS SQL Express. ...
... SQL is required. Local Government Corporation can provide this application to our customers or we can work with your existing MS SQL install if you already have one. We may also elect to provide you with MS SQL Express. ...
CS457 Introduction
... – Low level (physical) - XML – Implementation (representational) combines conceptual and physical – Relational – NoSQL data models – Column, key-value, document stores ...
... – Low level (physical) - XML – Implementation (representational) combines conceptual and physical – Relational – NoSQL data models – Column, key-value, document stores ...
Chapter 2
... changes in internal schema – Internal schema changes (e.g. using different file organizations, storage structures/devices) – Should not require change to conceptual or external schemas ...
... changes in internal schema – Internal schema changes (e.g. using different file organizations, storage structures/devices) – Should not require change to conceptual or external schemas ...
Common Tuning Approaches
... simple SELECT * FROM some_table. With some more complex SQL statements, Infobright proved to be more than 50 times faster than [Product X].” (from benchmark testing done by leading BI vendor) ...
... simple SELECT * FROM some_table. With some more complex SQL statements, Infobright proved to be more than 50 times faster than [Product X].” (from benchmark testing done by leading BI vendor) ...
Data Warehouse Architecture
... Use for big volumes of data Use when source and target databases are the same Use with PDW ELT is better since database engine is more efficient than SSIS Database engine: Transformations SSIS: Data pipeline and workflow management ...
... Use for big volumes of data Use when source and target databases are the same Use with PDW ELT is better since database engine is more efficient than SSIS Database engine: Transformations SSIS: Data pipeline and workflow management ...
Data-Warehouse-Architecture
... Use for big volumes of data Use when source and target databases are the same Use with PDW ELT is better since database engine is more efficient than SSIS Database engine: Transformations SSIS: Data pipeline and workflow management ...
... Use for big volumes of data Use when source and target databases are the same Use with PDW ELT is better since database engine is more efficient than SSIS Database engine: Transformations SSIS: Data pipeline and workflow management ...
Teradata USPs
... Involves physically changing operational systems Prevents problems with synchronisation and multiple updates of data More of a idealistic approach to MDM ...
... Involves physically changing operational systems Prevents problems with synchronisation and multiple updates of data More of a idealistic approach to MDM ...
Master Data Governance Roles
... (namely purpose, distribution, storage, user access, security). Must be able to provide evidence of compliance on request. Shared data is read only and can only vary for this if specific agreement is established with source Data Custodian Data Custodian: Also known as data owner or steward. a data ...
... (namely purpose, distribution, storage, user access, security). Must be able to provide evidence of compliance on request. Shared data is read only and can only vary for this if specific agreement is established with source Data Custodian Data Custodian: Also known as data owner or steward. a data ...
The Need for Data Structures
... type solely in terms of a set of values and a set of operations on that data type. • Each ADT operation is defined by its inputs and outputs. • The process of hiding implementation details is known as encapsulation. • C++ implements this concept with the class declaration (.h file or prototypes). ...
... type solely in terms of a set of values and a set of operations on that data type. • Each ADT operation is defined by its inputs and outputs. • The process of hiding implementation details is known as encapsulation. • C++ implements this concept with the class declaration (.h file or prototypes). ...
View the PowerPoint presentation
... Advantage Database Server: The Official Guide (ISBN 0-07223084-3) is a new book, written by Cary Jensen and Loy Anderson and published by McGraw-Hill/Osborne Media Group, that systematically guides a developer through key functionality of Advantage and includes a Companion CD with code samples and ...
... Advantage Database Server: The Official Guide (ISBN 0-07223084-3) is a new book, written by Cary Jensen and Loy Anderson and published by McGraw-Hill/Osborne Media Group, that systematically guides a developer through key functionality of Advantage and includes a Companion CD with code samples and ...
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.""