Big Data Movement—Managing Large-Scale Information in the Constantly Connected World
Solace Systems Inc.
Many forces in today's world of big data are driving applications to become more real-time. Data needs to go many places, be sorted and stored in different formats, and used in a wide variety of ways. Capturing high volume data streams inside and outside datacenters can be complicated and expensive using traditional software messaging middleware on general purpose servers. In order to realize the full value of “big data” some organizations are switching to real-time message-oriented middleware appliances that excel at the high-speed distribution of large volumes of data.
Are Your Capacity Management Processes Fit for the Cloud Era? An Intelligent Roadmap for Capacity Planning
Many organizations apply overly simplistic principles to determine requirements for compute capacity in their virtualized data centers. Read this whitepaper to learn about the complexities of pursuing efficient capacity planning, how to define functional requirements for your capacity management strategy, and a capacity management strategy that assures service levels while reducing performance risk and hardware footprint.
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.
Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies
Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.
Bringing the Power of SAS to Hadoop
Hadoop and the distributed, open-source framework behind it has caught the attention of many organizations searching for better ways to store and process large volumes and varieties of data. A successful Hadoop implementation can support the entire data-to-decision process. Learn about the benefits of Hadoop for your analytic life cycle.
Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization
Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.