W3C launched the new Linked Data Platform (LDP) Working Group to promote the use of linked data on the Web. Per its charter, the group will explain how to use a core set of services and technologies to build powerful applications capable of integrating public data, secured enterprise data, and personal data. The platform will be based on proven Web technologies including HTTP for transport, and RDF and other Semantic Web standards for data integration and reuse. The group will produce supporting materials, such as a description of uses cases, a list of requirements, and a test suite and/or validation tools to help ensure interoperability and correct implementation.
A rarity these days – an announcement that used ‘data’ instead of ‘big data’! And the co-chairs are even from IBM and EMC.
The recent announcement of SAS Visual Analytics highlights four important characteristics of big data that are key to the ability of marketing organizations to use big analytic data effectively:
- Visualization is a challenge for big data analysis and we’ll continue to see new approaches to presenting and interacting with it. Better visualization tools are necessary not just because those who aren’t data scientists need to understand and work with the data, but because the increased efficiency and time-to-reaction to the data is critical in many cases – especially for marketers who need to react with lightening speed to current user experiences.
- In case it isn’t obvious, visualization tools need to work where marketers can access them on web and mobile platforms.
- In-memory data processing is necessary to support the required speed of analysis. This is still rare.
- Big data is not only about unstructured data. Relational data and database tools are still important for incorporating structured data.
SAS is far from the only company driving new big data analytic technology, but they are the biggest and seem determined to stay on the front edge.