Data warehouse
The Installation and Configuration Guide provides guidance
on setting up a robust data warehouse environment. Data
warehouses are generally based on some form of relational
database and can be queried with Structured Query Language
(SQL) to pull information from the warehouse into a report
format. The data stored in the data warehouse originates
from the source systems.
Data warehouses are designed and optimized for analytical
processing. Analytical processing involves manipulating
the data in the warehouse to calculate sales trends, growth
patterns, trend reporting, profit analysis, and so on.
The data warehouse is a large database populated with data
that is stored in tables. These databases have many tables,
tracking many different pieces of information. It is not
necessary to have multiple data warehouses as a data
warehouse can store many databases and tables.
The data in the robust data warehouse can be populated with
data from an existing source system using an ETL process.
ETL takes the data from all sources, which can be spread over
several different locations, and funnels them into one data
warehouse.
Share This
Info Links
DW Blogs
Big Data Blog
BI Portal
ETL Process
DW Basics
DW Comparisons
Ab Initio Blog
1010data Blog
Actuate Blog
Autosys Blog
BO Blog
Cognos Blog
DataStage Blog
Hadoop Blog
Informatica Blog
Greenplum Blog
MapReduce Blog
MicroStrategy Blog
Netezza Blog
Oracle Blog
Pig Blog
QlikView Blog
SAS Blog
Teradata Blog
WebFOCUS Blog
Zookeeper Blog
BI Portal
ETL Process
DW Basics
DW Comparisons
Ab Initio Blog
1010data Blog
Actuate Blog
Autosys Blog
BO Blog
Cognos Blog
DataStage Blog
Hadoop Blog
Informatica Blog
Greenplum Blog
MapReduce Blog
MicroStrategy Blog
Netezza Blog
Oracle Blog
Pig Blog
QlikView Blog
SAS Blog
Teradata Blog
WebFOCUS Blog
Zookeeper Blog