Examples of using Data warehouse in English and their translations into Serbian
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Data Warehouse Administrator.
Design and implement a data warehouse.
Data warehouse and business intelligence.
Implement a physical design for a data warehouse.
Data warehouse concepts and architecture considerations.
Implement a logical design for a data warehouse.
The data warehouse may also be used to analyze the data; .
Select an appropriate hardware platform for a data warehouse.
Basic knowledge of data warehouse schema topology(including star and snowflake schemas).
A common source for data is a data mart or data warehouse.
While, a database and a data warehouse may seem the same, they are actually different is a key aspect.
Describe how BI solutions can consume data from the data warehouse.
This document is intended for data warehouse administrators who have a thorough knowledge of Base SAS software on UNIX or PC platforms.
How Business Intelligence solutions consume data in a data warehouse.
Data warehouse is not a product or software, it is an informational environment, which provides information like an integrated view of an enterprise.
Minimal exposure to Java, database or data warehouse concepts is required.
A database is optimized for write operation, while a data warehouse is optimized for read operations.
The data is initially gathered, different sources of enterprise then cleaned andtransformed and stored in a data warehouse.
Implement a SSIS solution that supports incremental data warehouse loads and extracting data. .
Data warehouse must have information in well-integrated form so that data mining can extract the knowledge in an efficient manner.
Its products andservices include payroll and accounting, data warehouse and integrations, loss prevention, and more.
Relational modeling techniques are used for RDMS database design,whereas modeling techniques are used for the Data Warehouse design.
This appliance complements the HP Enterprise Data Warehouse Appliance, which is designed for large organizations, optimized for SQL Server 2008 R2 and was introduced in November.
Database professionals who need to fulfill a BI developer role focused on hands-on work,creating BI solutions included data warehouse implementation, ETL, and data cleansing.
However, data warehouse provides an environment where the data is stored in an integrated form which ease data mining to extract data more efficiently.
This appliance, which is expected to be available in June, complements the HP Enterprise Data Warehouse Appliance, which is designed for large organizations, optimized for SQL Server 2008 R2.
Database professionals responsible for implementing a data warehouse, developing SSIS packages for data extraction, loading, transferring, transforming, and enforcing data integrity using MDS, and cleansing data using DQS.
During the 1990s,Victoria's Secret saw a 30% increase in store sales after the use of analyzing in their data warehouse in which specific store the styles, sizes and color of which bras were selling.
Now available with a starting price of $2 million,the HP Enterprise Data Warehouse Appliance is said to deliver up to 200 times faster queries and 10 times the scalability of traditional SQL Server deployments.