Search results
Results From The WOW.Com Content Network
In-database processing, sometimes referred to as in-database analytics, refers to the integration of data analytics into data warehousing functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.
General purpose database that has high data processing speeds in main-memory alone. It comes with high-availability, replication and scalability features; three interfaces (including Direct Access Mode and Direct Access API Mode) as well as conventional client/server protocols such as TCP/IP and IPC for more complex database operations.
The term data processing has mostly been subsumed by the more general term information technology (IT). [5] The older term "data processing" is suggestive of older technologies. For example, in 1996 the Data Processing Management Association (DPMA) changed its name to the Association of Information Technology Professionals. Nevertheless, the ...
Access Database Engine (formerly known as Jet Database Engine) Proprietary Actian Zen (PSQL) (formerly known as Pervasive PSQL) Proprietary Adabas D: Proprietary Airtable: Proprietary Altibase: Proprietary Amazon Aurora: Proprietary Apache Derby: Apache License 2.0 Apache Ignite: Apache License 2.0 Aster Data Systems: Proprietary CA Datacom ...
An OLTP system is an accessible data processing system in today's enterprises. Some examples of OLTP systems include order entry, retail sales, and financial transaction systems. [5] Online transaction processing systems increasingly require support for transactions that span a network and may include more than one company.
Formally, a "database" refers to a set of related data accessed through the use of a "database management system" (DBMS), which is an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data).
Typical examples of DBMS use include accounting, human resources and customer support systems. Originally found only in large companies with the computer hardware needed to support large data sets, DBMSs have more recently emerged as a fairly standard part of any company back office .
For example, if you need to load data into two databases, you can run the loads in parallel (instead of loading into the first – and then replicating into the second). Sometimes processing must take place sequentially. For example, dimensional (reference) data are needed before one can get and validate the rows for main "fact" tables.