Understanding the complexities of scientific data, along with it’s structure, volume and availability plays a key role in moving the state of the science forward. In today’s world it’s easier than ever to collect voluminous data. The unique nature of each dataset requires special handing and experience when analyzing, recasting and presenting important data. With the advent of Big Data techniques and tools, CSI is breaking new ground.
Example Project Objectives Include:
- Seamlessly associate disparate datasets, serving data in real time
- Pushing data availability to a web environment and give the user maximum control over the data presentation result
- Sharing complex analytics calculations involving multiple datasets across a cluster of linked computers
- Determining the best Big Data resource solution fits the project objectives