Webopedia on Google+Webopedia on TwitterWebopedia on FacebookTech Bytes Blog
Main » TERM » O »

ODS

Short for operational data store, a type of database that serves as an interim area for a data warehouse in order to store time-sensitive operational data that can be accessed quickly and efficiently. In contrast to a data warehouse, which contains large amounts of static data, an ODS contains small amounts of information that is updated through the course of business transactions. An ODS will perform numerous quick and simple queries on small amounts of data, such as acquiring an account balance or finding the status of a customer order, whereas a data warehouse will perform complex queries on large amounts of data. An ODS contains only current operational data while a data warehouse contains both current and historical data.






TECH RESOURCES FROM OUR PARTNERS
DID YOU KNOW?
Keeping Data Secure Is Tougher than Ever

If hackers get their hands on your company's data, they can wreak havoc on customer relationships and cause tremendous damage to your brand and... Read More »

Windows XP: Move Along, There's Nothing to See Here

After more than 12 years of holding the title of most popular operating system in the world, Windows XP is taking center stage for its final... Read More »

Report: The Role of Big Data in the Marketing Industry

According to a new study from Infogroup Targeting Solutions, we can expect to see companies spend heavily on big data marketing initiatives in... Read More »

QUICK REFERENCE
How to Create a Desktop Shortcut to a Website

Creating desktop shortcuts to a websites is useful. When you double-click the icon from your desktop it automatically launches the browser and... Read More »

Flash Data Storage Vendor Trends

Although it is almost impossible to keep up with the pace of ongoing product releases, here are three recent highlights in the flash data storage... Read More »

15 Important Big Data Facts for IT Professionals

Keeping track of big data trends, research and statistics gives IT professionals  a solid foundation to plan big data projects. Here are 15... Read More »