WHITE PAPER:
This whitepaper discusses the new features of IBM's InfoSphere Information Server V11.5, which helps you understand data and cleanse, monitor, transform, and deliver it.
WHITE PAPER:
By automating information integration and governance and deploying it at the point of data creation, organizations can boost big data confidence. Access this whitepaper now to discover the importance of data integration, and how your business will benefit from such a methodology.
WHITE PAPER:
This brief resource introduces a tool from a vendor that believes in the concept that business process management (BPM) and enterprise integration go hand in hand. Read on to learn more about this unified platform- its strengths, weaknesses, opportunities, and threats.
WHITE PAPER:
This valuable resource explores the need for seamless integration when moving your financial system to the cloud, and introduces a strategy that can ease your integration woes.
WHITE PAPER:
This whitepaper considers the importance of building operations data, and how tapping this information for deep insights can help reduce overhead cost. Access now for details.
WHITE PAPER:
The volume, variety, and velocity of big data make it difficult to ensure the information is trusted and protected -- traditional, manual methods of governance just aren't up to the task. In this resource, explore the challenges of managing big data and get best practices for data lifecycle management at the enterprise level.
WHITE PAPER:
Even the best managed large-scale enterprise data integration environments grow complex over time, and are continuously pressured to operate leaner and more efficiently. In this white paper, learn about an innovative publish-and-subscribe model that can be applied to data integration, delivering automation without compromising control.
WHITE PAPER:
This whitepaper examines a cloud integration tool designed to address the “integrator’s dilemma” of being forced to choose one integration tool over another to cover a variety of use cases.
WHITE PAPER:
Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
