Client-Server Architecture
... – Refers to immunity of conceptual schema to changes in the internal schema. – Internal schema changes (e.g. using different file organizations, storage structures/devices). – Should not require change to conceptual or external schemas. ...
... – Refers to immunity of conceptual schema to changes in the internal schema. – Internal schema changes (e.g. using different file organizations, storage structures/devices). – Should not require change to conceptual or external schemas. ...
Development of a BRIDG-Harmonized Multipurpose Information System
... • Online data entry application for primary data manager • Data extracts to support realtime analyses at BMT team meetings ...
... • Online data entry application for primary data manager • Data extracts to support realtime analyses at BMT team meetings ...
DOME – Database on Oceanography and Marine Ecosystems
... the data such as code definitions. However, the choice of coding systems, the application of meta-data, and the approach to data quality assurance are still data category-dependent. These differences are, to a large degree, due to different traditions in different scientific communities. ...
... the data such as code definitions. However, the choice of coding systems, the application of meta-data, and the approach to data quality assurance are still data category-dependent. These differences are, to a large degree, due to different traditions in different scientific communities. ...
Data Management Java Software Development Kit (SDK) Connect
... unstructured posts from social media, it all helps tell you about your products, your competitive position and most importantly your customers. The challenge is no longer about summary data for reporting, it’s detailed data from which you can glean the insights that lead to the right action. And doi ...
... unstructured posts from social media, it all helps tell you about your products, your competitive position and most importantly your customers. The challenge is no longer about summary data for reporting, it’s detailed data from which you can glean the insights that lead to the right action. And doi ...
Data Miing and Knowledge Discvoery - Web
... Data Mining: On What Kinds of Data? Database-oriented data sets and applications Relational database, data warehouse, transactional database Object-relational databases, Heterogeneous databases and legacy databases Advanced data sets and advanced applications Data streams and sensor data ...
... Data Mining: On What Kinds of Data? Database-oriented data sets and applications Relational database, data warehouse, transactional database Object-relational databases, Heterogeneous databases and legacy databases Advanced data sets and advanced applications Data streams and sensor data ...
Shelly Cashman Series Discovering Computers 2003
... Identify the qualities of valuable information ...
... Identify the qualities of valuable information ...
Data Warehousing: Toward Knowledge
... business objectives, data marts should be built and rolled out for identified service lines. Fifth and finally, an education program should be executed to enhance the transition of end users toward knowledge management. In the information age, data warehousing is a powerful strategic weapon. It elev ...
... business objectives, data marts should be built and rolled out for identified service lines. Fifth and finally, an education program should be executed to enhance the transition of end users toward knowledge management. In the information age, data warehousing is a powerful strategic weapon. It elev ...
PowerPoint - Clement Chang Web
... Do not have current plans of entering the BI tool market. The Ascential DataStage product family – highly scalable ETL solution – uses end-to-end metadata management and data quality assurance functions. – can create and manage scalable, complex data integration for enterprise applications such ...
... Do not have current plans of entering the BI tool market. The Ascential DataStage product family – highly scalable ETL solution – uses end-to-end metadata management and data quality assurance functions. – can create and manage scalable, complex data integration for enterprise applications such ...
9/4 - Penn Engineering - University of Pennsylvania
... It is common to describe databases in two ways: Logical structure: What users see. The program or query language interface. ...
... It is common to describe databases in two ways: Logical structure: What users see. The program or query language interface. ...
Data Mining - Binus Repository
... – Statistical tools take longer to run – Less robust on messy real world data – Must often be wielded by a master craftsman ...
... – Statistical tools take longer to run – Less robust on messy real world data – Must often be wielded by a master craftsman ...
Slides (powerpoint)
... Data translation [Popa et al] Data integration [Spaccapietra & Parent] Meta meta models [Noy et al] Properties of mappings [Hull] ...
... Data translation [Popa et al] Data integration [Spaccapietra & Parent] Meta meta models [Noy et al] Properties of mappings [Hull] ...
Ch04r
... - U.S. Airways • The fifth largest airline in America, U.S. Airways--with 2500 jet flights per day--is using an IBM database system to better manage its in-flight meal and video services. By analyzing upgrade, noshow, and cancellation patterns, U.S. Airways can more accurately predict how many meal ...
... - U.S. Airways • The fifth largest airline in America, U.S. Airways--with 2500 jet flights per day--is using an IBM database system to better manage its in-flight meal and video services. By analyzing upgrade, noshow, and cancellation patterns, U.S. Airways can more accurately predict how many meal ...
OLAP Reporting Tools – Are you really ready for one
... can expect new reporting tool more efficient than the present in near future, at that time we won’t be able to get the benefit of all the ETL we did to populate the cubes now. *Multiplicity of Processing: Acquisitions are very common these days. Acquired companies may be using their OLAP tool and tr ...
... can expect new reporting tool more efficient than the present in near future, at that time we won’t be able to get the benefit of all the ETL we did to populate the cubes now. *Multiplicity of Processing: Acquisitions are very common these days. Acquired companies may be using their OLAP tool and tr ...
Chapter 11 - Faculty Server Contact
... Core idea – divide a computing task so that multiple nodes can work on it at the same time Each node works on local data doing local processing. ...
... Core idea – divide a computing task so that multiple nodes can work on it at the same time Each node works on local data doing local processing. ...
Chapter 2
... – Refers to immunity of conceptual schema to changes in the internal schema. – Internal schema changes (e.g. using different file organizations, storage structures/devices). – Should not require change to conceptual or external schemas. ...
... – Refers to immunity of conceptual schema to changes in the internal schema. – Internal schema changes (e.g. using different file organizations, storage structures/devices). – Should not require change to conceptual or external schemas. ...
Land Records - AIMS
... • Increasing demand for integrated DB/Map Apps – Recently deployed a number of VB/MO apps ...
... • Increasing demand for integrated DB/Map Apps – Recently deployed a number of VB/MO apps ...
The Learning Objectives
... Stored in a standardized, convenient form Requires a Database Management System (DBMS) ...
... Stored in a standardized, convenient form Requires a Database Management System (DBMS) ...
Slides
... • CIM Defined • “Systems which enable integrated, rationalized design, development, implementation, operation and improvement of production facilities and their output over the life cycle of the product” ...
... • CIM Defined • “Systems which enable integrated, rationalized design, development, implementation, operation and improvement of production facilities and their output over the life cycle of the product” ...
AMIETE Question Paper 14 - Entrance
... ii) Enumerate based on the kind of aggregate functions that could be used in a datacube. Q.4 a. Explain how data cubes model n-dimensional data. Give an example of a 3-D view of sales data of an electronics company according to dimensions: time, item and location. (7) b. Distinguish between snowflak ...
... ii) Enumerate based on the kind of aggregate functions that could be used in a datacube. Q.4 a. Explain how data cubes model n-dimensional data. Give an example of a 3-D view of sales data of an electronics company according to dimensions: time, item and location. (7) b. Distinguish between snowflak ...
Data Modeling - Temple Fox MIS
... management system. Operational databases deal with both: they store information about business transactions using database transactions ...
... management system. Operational databases deal with both: they store information about business transactions using database transactions ...
Data generators
... Need of prototype of application Filling database with meaningful data Manually is slow ...
... Need of prototype of application Filling database with meaningful data Manually is slow ...
Slides - SEAS - University of Pennsylvania
... (read/write) on data items (e.g. calendar entry) Recoverability via a log: keeping track of all actions carried out by the database How do distributed systems, Web services, serviceoriented architectures, and the like affect these ...
... (read/write) on data items (e.g. calendar entry) Recoverability via a log: keeping track of all actions carried out by the database How do distributed systems, Web services, serviceoriented architectures, and the like affect these ...
Chapter 3 – Database Systems, Data Warehouses, and Data Marts
... Object-Oriented Databases – both data and their relationships are contained in a single object. An object consists of attributes and methods that can be performed on the object’s data. Encapsulation – refers to the grouping into a class of various objects along with their attributes and methods – i. ...
... Object-Oriented Databases – both data and their relationships are contained in a single object. An object consists of attributes and methods that can be performed on the object’s data. Encapsulation – refers to the grouping into a class of various objects along with their attributes and methods – i. ...
The Astronomical Data Warehouse - X
... Many of the operations identified above will be I/O-intensive, or cpu-intensive, or both. Some of them can be carried out using a relational database management system (DBMS), but many others (time-series analysis, clustering algorithms, image processing) will require specialised software. This may ...
... Many of the operations identified above will be I/O-intensive, or cpu-intensive, or both. Some of them can be carried out using a relational database management system (DBMS), but many others (time-series analysis, clustering algorithms, image processing) will require specialised software. This may ...
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.""