What is an Oracle data warehouse?
Oracle Autonomous Data Warehouse is an easy-to-use, fully autonomous data warehouse that scales elastically, delivers fast query performance, and requires no database administration. The setup for Oracle Autonomous Data Warehouse is very simple and fast.
Is Oracle used for data warehousing?
Oracle Multitenant is the architecture for the next-generation data warehouse in the cloud. It delivers easier consolidation of data marts and data warehouses by offering complete isolation, agility and economies of scale.
What are the differences between OLTP and data warehouse?
Data warehouses usually store many months or years of data. This is to support historical analysis. OLTP systems usually store data from only a few weeks or months. The OLTP system stores only historical data as needed to successfully meet the requirements of the current transaction.
How is Oracle database used in data warehousing?
Provides conceptual, reference, and implementation material for using Oracle Database in data warehousing. It covers the full range of data warehousing activities, from physical database design to advanced calculation techniques. Provides information about how to tune the performance of Oracle Database using Oracle performance tools.
How is data transformation performed in a data warehouse?
Modern data warehouses are moving toward an extract, load, transformation (ELT) architecture in which all or most data transformation is performed on the database that hosts the data warehouse. It is important to note that defining the ETL process is a very large part of the design effort of a data warehouse.
What should be included in a data warehouse?
In addition to a relational database, a data warehouse environment can include an extraction, transportation, transformation, and loading (ETL) solution, online analytical processing (OLAP) and data mining capabilities, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users.
How does the ODS work in a data warehouse?
The ODS data is cleaned and validated, but it is not historically deep: it may be just the data for the current day. Rather than support the historically rich queries that a data warehouse can handle, the ODS gives data warehouses a place to get access to the most current data, which has not yet been loaded into the data warehouse.