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.
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.
Cloudera has been included as a Challenger in Gartner's 2015 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, following last year’s debut as the only included pure-play Hadoop distribution vendor.
Having local expertise on each side of the water helped to address the customer’s concerns and data center requirements at each level of its decision making process. How do you go about finding the right provider for your business?
Content marketing is driving the way marketing organizations are engaging their audiences. In our consumer-empowered world, it’s become more difficult for marketers to cut through clutter and a lot more challenging to garner loyalty with their audiences. That’s why smart content delivered in context will make you stand out in the crowd. Read the modern marketing essentials guide on Content Marketing now.
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.
Get expert advice on how to keep your private cloud secure with our Top 10 Considerations Slideshow. If you are looking to build a secure foundation for your private cloud infrastructure, this slideshow offers important considerations for securing your private cloud environment.
Find out how network virtualization can help you move seamlessly to a private cloud in this Webinar. You will hear about the challenges the Tribune Broadcasting had to solve in order to achieve a smooth transition to high-performance, scalable private cloud.
Find out how new applications and virtualized environments are driving the need for increased bandwidth and network scale in this new Report. Read how scalability is fuelling the need for 10GbE networks.
With its Application Ready solutions, IBM is outflanking competitors in Technical Computing and fast-tracking the delivery of client business value by providing an expertly designed, tightly integrated and performance optimized architecture for several key industrial applications.
A recent survey conducted by Slashdot Media asked mobile developers four key questions that look into the most pressing challenges they face today, how their development approach is changing, which mobile platforms are taking the forefront in the coming years, and how they are ensuring that their apps will meet the quality standards that users demand. Here are the results of the survey.
If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Watch Gigaom Research and our sponsor Izenda for “User Driven BI in the Cloud and Within Your Application,” a free recorded analyst webinar.
Most data masking products can create masked data copies but not distribute or update them, resulting in projects that fail to live up to expectations. Learn why Delphix’s Agile Masking solution is the only product that solves both masked data creation and delivery challenges.
This white paper examines key approaches to application modernization and evolution for certain IBM mainframe applications with long life spans. It discusses the challenges of legacy applications and the available modernization approaches to handle these challenges. The paper also analyzes in some depth specific approaches that keep application logic largely intact or allow it to evolve incrementally and productively.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.