Time series analytics for Big Data and I...

Trying to solve the data riddle purely through the lens of architecture is missing a vital point: The unifying factor across all data is a dependency on time. The ability to capture and factor in time is the key to unlocking real cost efficiencies. Whether it’s streaming sensor data, financial market data, chat logs, emails, SMS or the P&L, each piece of data exists and changes in real time, earlier today or further in the past. Unless they are linked together in a way that firms can analyze, there is no way of providing a meaningful overview of the business at any point in time. This talk will demonstrate using live coding how kdb+, a columnar relational time-series database, with a tightly integrated query language called q, can do aggregations and consolidations on billions of streaming, real-time and historical records for complex analytics.