Примери за използване на Data warehousing на Английски и техните преводи на Български
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Data warehousing and reporting;
Database management and mapping Data warehousing.
Data warehousing and analytical systems on transport;
Design, development andproject management of your Data Warehousing project.
Data warehousing is broad and not limited to focusing only on specific departments.
Require additional data modeling.Conventional data warehousing architecture has limited.
The way data warehousing index is light because it has to handle large volume of data. .
We are experts in deploying andcustomizing solutions for Business Intelligence, Data Warehousing and Predictive Analytics.
Data warehousing(user queries large collection of databases and extracts information).
Since 1996, Adastra has been offering a range of services andsolutions that meet the Data Warehousing needs of organizations across various industries.
The data stored in data warehousing are more detailed compared to data mart.
The inclusion of Hekaton in Microsoft SQL 2014 really accelerated performance of queries and database response times- 90% performance improvement was certainly attainable for some queries on Microsoft SQL 2014 compared to SQL 2008 andthis gave notice of Microsoft's intention to really get into Enterprise IT data warehousing.
Data warehousing is not limited to being related to subject areas of departments and corporations.
Data warehousing is the electronic storage of a large amount of information by a business or organization.
Data warehousing is done on a special external hard drive array or on the hard drives of one or several computers.
Electronically supplied services include for example cloud services, data warehousing services, website hosting and the provision of firewalls, use of search engines and internet directories.
Data warehousing can get expensive and difficult to use because it covers a broad part of the company or corporation, unlike the data mart which is affordable and convenient because it deals with small departments of the company or corporation.
To help customers more cost-effectively manage their enterprise-scale workloads,Microsoft will release several new data warehousing solutions in conjunction with the general availability of SQL Server 2012, slated to begin April 1.
Intelligence(data warehousing, search(excavation) of data), supplemented with recent innovations in the field of& rsquo;
The Business Intelligence Network™ focuses on business intelligence,performance management, data warehousing, data integration and data quality, serving these communities with unparalleled industry coverage and resources.
Data warehousing involves integrating information from different systems, functions, and locations across an enterprise into a central database to allow more accurate analysis of customer needs, buying patterns, profitability and improved decision making and marketing.
The core functionality of the solution is based on the extraction of data snapshots from one or more MIS/CRM/ERP databases to the data warehousing solution, and from there providing tools to use the data for analysis and reporting purposes.
As coined by William H. Inmon, the Father of Data Warehousing,“a data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process”.
(19) The second situation is where the trader provides electronically supplied services, other than services the main feature of which is the provision of access to and use of copyright protected works orother protected subject matter, such as cloud services, data warehousing services, website hosting and the provision of firewalls.
According to William Inmon(1999), known as the“Father of Data Warehousing”, data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of the management's decision-making process.
Provide advanced, specialized training in a number of IS disciplines such as enterprise resource planning, global information technology, information resource management, artificial intelligence,data mining, data warehousing, e-commerce, knowledge management, and supply chain management so that students acquire expertise that can be applied in a wide range of academic, government and private sector environments.
Inmon, who is considered to be the Father of Data Warehousing, has given the following definition:“A Data Warehouse is a subject-oriented, integrated, time-varying, non-volatile collection of data in support of the management's decision-making process”.
Key to Enterprise Business Intelligence is data warehousing, typically consolidating data from a wide range of operational business solutions in Finance, Customer Relationship Management, Order processing, Sales and Inventory.