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ERP for Fashion Industries
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » olap data warehouse definition


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

olap data warehouse definition  Warehousing , Data Warehousing OLAP , Resource Data Warehouse , Land and Resource Data Warehouse , Data Warehouse Web Site , Data Mining , Data Mart , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehouse Tutorial , Data Warehouse Definition , OLAP , Business Intelligence , Huge Data Warehouse , Data Warehouse Appliance . NOTE: The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It Read More...
SAP HANA-One Technology to Watch in 2012 (and Beyond)
Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database

olap data warehouse definition  vice versa. In contrast, OLAP data organization disregards the theories of normalization, and the data is rather kept in the so-called star or snowflake schema. In this way, one central (a.k.a., inner or fact ) table contains the primary keys for all other outer or dimension tables, whereby one entity can describe multiple real-world events and/or notions. Technically, an Analytic View or OLAP cube is a set of physical tables, interconnected in a star schema. Only the fact table provides the information t Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

olap data warehouse definition  of OLAP is that OLAP can only answer questions you know to ask, data mining answers questions you didn''t necessarily know to ask. Data Visualization Tools: Tools that show graphical representations of data, including complex three-dimensional data pictures. The theory is that the user can see trends more effectively in this manner than when looking at complex statistical graphs. Some vendors are making progress in this area using the Virtual Reality Modeling Language (VRML). Metadata Management: Through Read More...
Is There Finally a Metadata Exchange Standard on the Horizon?
On September 27, a group of vendors including Oracle, IBM, Unisys, NCR, and Hyperion Solutions announced the submission of a metadata interchange standard to

olap data warehouse definition  DCOM Microsoft DCOM MD-API OLAP Council OLE-DB Microsoft OLE-DB IDAPI Borland ODBC Microsoft ODBC OIM MDC CWMI OMG ?????????? Note that MDC is a proponent of a standard originally crafted by Microsoft. There are already competing standards for integrating metadata repositories, including CDIF (Case Data Interchange Format), and MDIS (Metadata Interchange Standard). The conspicuous absence of the major repository vendors, Computer Associates (which now owns the Platinum Repository, the market leader), Micr Read More...
Oracle Further Orchestrates Its SOA Forays Part Two: Strategy
Oracle''s vision of a complete collaborative e-Business solution requires a database strategy, an application server strategy, and an e-business strategy. Will

olap data warehouse definition  warehousing, online analytic processing (OLAP), extraction, transformation, and loading (ETL), and data mining. Now Oracle has created what is likely the most complete integration solution available. In fiscal 2004, the vendor released a new version of its technology platform software, dubbed collectively Oracle 10g . The software provides a platform for developing and deploying applications on the Internet and on corporate intranets, and it comprised of database management software, application server so Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

olap data warehouse definition  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Is Your Warehouse Ready for the Upswing?
Supply chain management is a long-term strategy. The centerpiece for supply chain execution—the warehouse management system (WMS)—is an excellent place to start

olap data warehouse definition  Your Warehouse Ready for the Upswing? HighJump TM Warehouse Advantage offers advanced warehouse management functionality to manage even the most complex distribution environments. This powerful WMS helps to ensure fast, accurate fulfillment through directed, optimized workflow, utilizing advanced wireless and barcode technologies. Containerization, wave planning and slotting drive further efficiencies. Source: High Jump Resources Related to Is Your Warehouse Ready for the Upswing? : Warehouse Read More...
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The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

olap data warehouse definition  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

olap data warehouse definition  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More...
Collecting Meaningful Data from the Web: Once an Impossibility, Now a Reality
The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and applications, as well as the

olap data warehouse definition  Meaningful Data from the Web: Once an Impossibility, Now a Reality   Once upon a time, organizations would extract data from several types of data sources, including different business software applications such as enterprise resource planning (ERP) systems, customer relationship management (CRM) applications, and others. Data sources also included such documents as plain-text docs and even spreadsheets. The traditional way to extract data from these sources involved a data integration Read More...
In-memory Computing: Lifting the Burden of Big Data
Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data

olap data warehouse definition  memory Computing: Lifting the Burden of Big Data Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data infrastructure to meet this new pressure. Advances in server hardware and application design have led to a potential solution: in-memory computing. Read Aberdeen''s Analyst Insight report and see how in-memory computing can address two of the three Vs of big data. Read More...
Responding to Warehouse Management Needs
The area of warehouse management systems and supply chain execution might be the best examples of Adonix'' commitment to provide small and large businesses with

olap data warehouse definition  to Warehouse Management Needs Adonix'' Warehouse Management System Response Modern warehouses have complex requirements. Fast product cycles, the need to decrease inventory and increase the flow of goods through the supply chain means that warehouses cannot remain static. Virtual real time data must match the supply to demand. Furthermore, many light manufacturing operations, such as final assembly, customized packing, labeling, and engraving, have been moved from shop floors to warehouses and Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

olap data warehouse definition  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...
Containerized Power and Cooling Modules for Data Centers
Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings

olap data warehouse definition  Power and Cooling Modules for Data Centers Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared with traditional data center power and cooling infrastructure. Facility modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to Read More...

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