IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services.
According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you:
Overcome the worldwide shortage of experienced data center professionals
Understand how out-tasking data center operations can benefit you & your clients
Identify key characteristics of a strong data center operations partner
Gartner predicts that the public cloud market will surpass USD 300 billion by 2021 . With the big players (Amazon, Google, Microsoft and IBM) taking home 63 percent of the market share , how will next wave CSPs stand out from the crowd?
Download Intel's latest whitepaper, Differentiating for Success: A Guide for Cloud Service Providers' to discover how to offer unique services, including:
- Providing workload-specific optimizations, for example machine learning or high-performance computing
- Targeting a particular geographical area
- Focusing on an industry, such as financial services
- Delivering emerging technology, such as virtual reality, in-memory databases, and containerization
The introduction of the IBM z14 ZR1 and LinuxONE Rockhopper II fills out the product line of the latest generation of IBM mainframes. Infrastructure and operations leaders tasked with managing, protecting and, increasingly, using data for competitive advantage will find this new release interesting.
All enterprises dealing with private data in test environments should mask or generate test data to comply with regulations such as Payment Card Industry (PCI), the Health Insurance Portability and Accountability Act (HIPAA), Sarbanes-Oxley (SOX), and European Union (EU) as well as to protect against internal and external attacks.
The path to creating a secure application begins by rigorously testing source code for all vulnerabilities and ensuring that use of the application does not compromise or allow others to compromise data privacy and integrity.
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
The right test data management solution accelerates time to value for business-critical applications and builds relationships and efficiencies across the organization. IBM InfoSphere Optim Test Data Management closes the gap between DBAs and application developers by providing all teams with accurate, appropriately masked and protected data for their work. Developers can confirm that new application functionalities perform as expected. QA staff can validate that the application performs as intended based on the test cases, and that integrations work properly. And business leaders can be more confident that competitive functionality will be delivered on time with less risk.
Discover service virtualization and how it fits into the big picture of software quality. In this book, Service Virtualization For Dummies, IBM Limited Edition written by industry analysts Marcia Kaufman and Judith Hurwitz, learn how to deliver higher quality software by increase the efficiency and effectiveness of your testing processes while reducing testing downtime and testing cost.
The book covers the following topics and more:
• Understand the changing relationship between IT and business — quicker delivery is required
• Examine today’s complex applications — mobile, web, social meet middleware, packaged apps, databases, and mainframes.
• Discover how to begin with service virtualization — build your business case.
• Realize the benefits of service virtualization —enable earlier testing to eliminate surprises and reduce risk.
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
In this video, see how Greenwell Financial marketers use IBM's Digital Experience platform to make customers the center of attention to drive business value. This demo highlights IBM's latest capabilities including Site Wizard, Digital Data Connector, Marketing Center, Media Analytics and more.
Developers must deliver high-quality applications while limiting their testing expenses. In this challenging environment, a combination of automated integration testing and test virtualization can enable test teams to improve software quality and keep up with the rate of change.
Hear real world examples from service virtualization and mainframe experts about the way service virtualization can enable continuous integration to increase quality, reduce cost, and decrease project risk.
Data workloads are rapidly evolving and changing. Today's enterprises have many different types of applications, with different usage patterns, all constantly accessing data. As a result, data services need to be more robust and scalable. IBM PureApplication System and IBM PureData™ System for Transactions are designed to meet these needs. This paper shows how the latest technology and expertise built into these systems gives businesses an innovative approach to rapidly create and manage highly scalable data services, without the complexity of traditional approaches.
Applications are evolving at an ever-faster pace. These applications are not discrete islands; they build on a complex, interconnected set of components that includes disparate technologies, developers, deployment topologies and organizations. Developers must deliver high-quality applications while limiting their testing expenses. In this challenging environment, a combination of automated integration testing and test virtualization can enable test teams to improve software quality and keep up with the rate of change. This whitepaper helps address these needs by describing the benefits that can be gained through a proactive and continuous approach to integration testing with IBM® Rational® test automation solutions.
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