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BusinessObjects Data Integrator
{{Short description, Data integration software Business Objects's Data Integrator is a data integration and ETL tool that was previously known as ActaWorks. Newer versions of the software include data quality features and are named SAP BODS (BusinessObjects Data Services). The Data Integrator product consists primarily of a Data Integrator Job Server and the Data Integrator Designer. It is commonly used for building data marts, ODS systems and data warehouses, etc. Additional transformations can be performed by using the DI scripting language to use any of the already-provided data-handling functions to define inline complex transforms or building custom functions. Data Integrator Designer stores the created jobs and projects in a Repository. However, Data Integrator Designer also facilitates team-based ETL development by including a Central Repository version control system In software engineering, version control (also known as revision control, source control, or source co ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Objects (company)
Business Objects (BO, BOBJ, or BObjects) was an enterprise software company, specializing in business intelligence (BI). Business Objects was acquired in 2007 by German company SAP AG. The company claimed more than 46,000 customers in its final earnings release prior to being acquired by SAP. Its flagship product was BusinessObjects XI (or BOXI), with components that provide performance management, planning, reporting, query and analysis, as well as enterprise information management. Business Objects also offered consulting and education services to help customers deploy its business intelligence projects. Other toolsets enabled universes (the Business Objects name for a semantic layer between the physical data store and the front-end reporting tool) and ready-written reports to be stored centrally and made selectively available to communities of the users. History co-founded Business Objects in 1990 together with , and was chief until September 2005, when he became chairman a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Integration
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting informati ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Extract, Transform, Load
In computing, extract, transform, load (ETL) is a three-phase process where data is extracted, transformed (cleaned, sanitized, scrubbed) and loaded into an output data container. The data can be collated from one or more sources and it can also be outputted to one or more destinations. ETL processing is typically executed using software applications but it can also be done manually by system operators. ETL software typically automates the entire process and can be run manually or on reoccurring schedules either as single jobs or aggregated into a batch of jobs. A properly designed ETL system extracts data from source systems and enforces data type and data validity standards and ensures it conforms structurally to the requirements of the output. Some ETL systems can also deliver data in a presentation-ready format so that application developers can build applications and end users can make decisions. The ETL process became a popular concept in the 1970s and is often used in d ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Mart
A data mart is a structure/access pattern specific to ''data warehouse'' environments, used to retrieve client-facing data. The data mart is a subset of the data warehouse and is usually oriented to a specific business line or team. Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department. In some deployments, each department or business unit is considered the ''owner'' of its data mart including all the ''hardware'', ''software'' and ''data''. This enables each department to isolate the use, manipulation and development of their data. In other deployments where conformed dimensions are used, this business unit owner will not hold true for shared dimensions like customer, product, etc. Warehouses and data marts are built because the information in the database is not organized in a way that makes it readily accessible. This organization requires queries that are too complicated, difficult to access or resource intensive. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Operational Data Store
An operational data store (ODS) is used for operational reporting and as a source of data for the enterprise data warehouse (EDW). It is a complementary element to an EDW in a decision support environment, and is used for operational reporting, controls, and decision making, as opposed to the EDW, which is used for tactical and strategic decision support. An ODS is a database designed to integrate data from multiple sources for additional operations on the data, for reporting, controls and operational decision support. Unlike a production master data store, the data is not passed back to operational systems. It may be passed for further operations and to the data warehouse for reporting. An ODS should not be confused with an enterprise data hub (EDH). An operational data store will take transactional data from one or more production systems and loosely integrate it, in some respects it is still subject oriented, integrated and time variant, but without the volatility constrain ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Warehouse
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for Business reporting, reporting and data analysis and is considered a core component of business intelligence. DWs are central Repository (version control), repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. The data stored in the warehouse is uploaded from the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the DW for reporting. Extract, transform, load (ETL) and extract, load, transform (ELT) are the two main approaches used to build a data warehouse system. ETL-based data warehousing The typical extract, transform, load (ETL)-based data warehouse uses ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Version Control System
In software engineering, version control (also known as revision control, source control, or source code management) is a class of systems responsible for managing changes to computer programs, documents, large web sites, or other collections of information. Version control is a component of software configuration management. Changes are usually identified by a number or letter code, termed the "revision number", "revision level", or simply "revision". For example, an initial set of files is "revision 1". When the first change is made, the resulting set is "revision 2", and so on. Each revision is associated with a timestamp and the person making the change. Revisions can be compared, restored, and, with some types of files, merged. The need for a logical way to organize and control revisions has existed for almost as long as writing has existed, but revision control became much more important, and complicated, when the era of computing began. The numbering of book editions ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
