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:
By simplifying and making system refresh execution consistent, automation can decrease the potential for errors inherent in standard approaches. Read this paper to discover an automation solution that can be used for traditional SAP systems as well as SAP’s Business Warehouse (BW).
WHITE PAPER:
This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
WHITE PAPER:
To realize the full potential of smart meters, utility companies and their partners need a data management solution designed to reduce data load times, decrease storage capacity needs, and improve query performance for time series data.
WHITE PAPER:
In this valuable guide you'll learn how to move your business forward through the use of a sound information management strategy. And to build upon this, discover how you can advance your information strategy and accelerate the discovery of key business insights through the use of various big data technologies.
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:
To extract the most value from data, you need to sort through structured and unstructured data from a variety of sources - and that isn't easy. In this resource, discover how a data exploration tool enables you to improve access to information across your enterprise, and easily visualize and integrate big data for more efficient analytics.
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.
