A Database is a collection of records stored in a computer in a systematic way, so that a computer program can consult it to answer questions. For better retrieval and sorting, each record is usually organized as a set of data elements (facts). The items retrieved in answer to queries become information that can be used to make decisions. The computer program used to manage and query a database is known as a database management system (DBMS).
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements? Here are six reasons why changing your database can help you take advantage of data and analytics innovations.
The infographic provide leading analyst insights on the all-flash array market and how innovation accelerators are driving the agile data center through high data growth and the need for increased scalability and performance.
ActualTech Media and SimpliVity have partnered to create a new report that presents data from surveyed IT professionals and their experiences with hyperconverged infrastructure. The report defines Hyperconvergence and outlines the future of the industry.
Read this paper to find out how Tosca Testsuite can help you to lower the maintenance effort of your test data and operating costs of your test environment while building an efficient test data management strategy.
Today’s customers are well-informed and empowered by information. They use other people and online experts as information sources. They interact with companies by multiple methods and expect a relevant dialogue with each brand. This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.
First generation warehouses were not designed to manage data at today's volume or variety. Coercing older technologies to satisfy new demands can be inefficient, burdensome and costly. Read how IBM PureData System for Analytics is built for simplicity and speed.
You may be considering the move to a SaaS model for several reasons: it's cheaper, easier, more flexible. But then reality sets in. You can't afford to move to SaaS right away. Many of your apps are too mission-critical to trust SaaS at this point, and security restrictions and company guidelines will not allow you to use SaaS for many apps. However, for some apps, it's not an issue, and that number continues to grow. So how do you reconcile? Enter stage left-- Hybrid APM. With the ability to pick and choose between SaaS or on-premises monitoring for your different applications and components, wherever they reside, your troubles are alleviated and the shift towards SaaS can be seamless.