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).
Selecting an Infrastructure-as-a-Service (IaaS) provider can be a complex exercise that involves an array of considerations including business needs, budget, and application requirements. Buyers frequently respond to this complexity by filtering vendors based on variables that are more easily comparable, usually product features, location, and price. By contrast, performance, which is a critical factor to ensuring fit with business needs and ultimately satisfaction with the service, is often ignored. Virtual machine (VM) performance can be challenging to assess because it can vary drastically across vendors, instance sizes and prices, as well as in terms of a particular application’s unique requirements.
Learn how e-signatures remove the last barrier between a hybrid paper to digital workflow to an all-electronic process, dramatically accelerating closure in any type of transaction that requires a contract.
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.
This national children's hospital relies on a big data platform to better understand its patients, their conditions, and the quality of care they receive in support of its mission: to make kids better today and healthier tomorrow.
Merkle employs an analytically led, data-driven methodology and an enterprise data hub (EDH) from Cloudera to help large consumer brand clients build and sustain profitable customer relationships through smarter marketing.
The greatest promise of the information-driven enterprise resides in the business-relevant questions financial services firms have historically been unable or afraid to ask, related to data consolidation and multi-tenancy, full-fidelity analytics and regulatory compliance, and Big Data.