In building a set of messages towards the upcoming IBM Insight (formerly IOD) conference, this blog entry is being written as part of that effort (in collaboration with IBM Marketing):
The Internet of Things is changing our world with the pervasiveness of connected sensors and devices, expanding the volume of captured data exponentially. This new computing model requires us to rethink our data management strategies in several ways. Since data is captured from numerous devices across multiple data types, succeeding in the IoT space requires the ability to securely combine structured, unstructured, Time-Series, spatial and other sensor data into a single source of intelligence. We need to make sense of this huge influx of data by aggregating and analyzing data locally, at the gateway level, to use it in meaningful ways. This can only be achieved by using an intelligent database with reliability, flexibility, performance and simplicity to handle real-time and context computing on the edge. Embedding an enterprise-level database, like Informix, coupled with the power of a warehouse accelerator, can optimize business results with speed of thought insight.
There are many ways sensor data can be used. Data can be used for real-time analytics to gain intelligence and respond to events as they happen. You can use historical analysis to look through record history for trends, analyze collections of sensors for correlation and formulate hints and suggestions based on usage and patterns. As tremendous growth opportunities emerge, so do challenges. Sensors collect and forward data for a single measurement, but consumers will have many devices and want a consolidated view. These devices generate a huge amount of data and limited space will create network and latency concerns. In addition, the variety and volume of data makes it hard to locate data and perform analytics that join different kinds of data together. Databases solve these problems when data is organized locally in a compact form that is easy to search and use. Simple SQL and JSON application development interfaces provide a flexible schema without requiring upfront definitions of their types. IBM Informix hybrid capabilities provide management of SQL and NoSQL/JSON data seamlessly, in one database.
Warehouse accelerators improve the performance of traditional data warehousing queries. In the “sensor analytics zone” within IBM’s IoT architecture, IBM Informix Warehouse Accelerator speeds complex queries for relational and Time-Series data. You can scale on a cluster and provision both IDS and IWA in the cloud to analyze much more data from different sensors and gateways. IWA can perform analytics of stored sensor data, up to 1000x faster than Time-Series alone. Informix is leading the way with unique capabilities to harness IoT data at the edge and I’ll be talking more about them at Insight 2014.