a couple of them - osisoft related - .. how is Osisoft playing this game ?
Next-Generation Analytics. Analytics is growing along three key dimensions:
- From traditional offline analytics to in-line embedded analytics. This has been the focus for many efforts in the past and will continue to be an important focus for analytics.
- From analyzing historical data to explain what happened to analyzing historical and real-time data from multiple systems to simulate and predict the future.
- Over the next three years, analytics will mature along a third dimension, from structured and simple data analyzed by individuals to analysis of complex information of many types (text, video, etc…) from many systems supporting a collaborative decision process that brings multiple people together to analyze, brainstorm and make decisions.
Analytics is also beginning to shift to the cloud and exploit cloud resources for high performance and grid computing.
In 2011 and 2012, analytics will increasingly focus on decisions and collaboration. The new step is to provide simulation, prediction, optimization and other analytics, not simply information, to empower even more decision flexibility at the time and place of every business process action.
Big Data. The size, complexity of formats and speed of delivery exceeds the capabilities of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. Many new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS). Analytics has become a major driving application for data warehousing, with the use of MapReduce outside and inside the DBMS, and the use of self-service data marts. One major implication of big data is that in the future users will not be able to put all useful information into a single data warehouse. Logical data warehouses bringing together information from multiple sources as needed will replace the single data warehouse model.
In-Memory Computing. Gartner sees huge use of flash memory in consumer devices, entertainment equipment and other embedded IT systems. In addition, it offers a new layer of the memory hierarchy in servers that has key advantages — space, heat, performance and ruggedness among them. Besides delivering a new storage tier, the availability of large amounts of memory is driving new application models. In-memory applications platforms include in-memory analytics, event processing platforms, in-memory application servers, in-memory data management and in-memory messaging.
Running existing applications in-memory or refactoring these applications to exploit in-memory approaches can result in improved transactional application performance and scalability, lower latency (less than one microsecond) application messaging, dramatically faster batch execution and faster response time in analytical applications. As cost and availability of memory intensive hardware platforms reach tipping points in 2012 and 2013, the in-memory approach will enter the mainstream.