What is The IoT, apart from immense? Who’s doing what with it? Some Big Players are making huge investments in it – yet the foodchain is accessible to the tiniest ‘Makers’. We’ll see where this workshop takes us, but IoT Platforms and Remote Controls are on the menu… Within a few years, IoT devices will be monitoring and controlling your home, car, appliances; well, everything. The needs/opportunities for good database designs/analytics will be immense. As-yet unforeseen applications will arise from the collection and analysis of huge datasets, and present huge opportunities. These solutions?/apps? are both pie in the sky and right here, right now. A recent Wired article: “When people talk about “the next big thing,” they’re never thinking big enough.”
A generation of ‘Makers’ is growing up around us, as schoolchildren are introduced to Pop Computing via coding and robotics. Why should kids have all the fun? We may even get to play with some IoT toys in this session. The intrepid attendee may wish to pre-install the Arduino IDE, Fritzing and Node.Red… And don’t forget your MicroUSB cables.
What are the differences between muti-core and multi-node approaches to PostgreSQL, and how might these be applied to workloads? PostgreSQL 9.6, just released, introduces Parallel Query. This workshop will explore features/differences among the ‘SuperComputing’ approaches taken by PostgreSQL 9.6, PostgreSQL-XL and GreenPlum. We’ll explore implementation, management and monitoring of parallel queries within the context of PostgreSQL’s background worker architecture. We’ll also touch on approaches to integrating GPUs into the PostgreSQL engine. What are current limitations? And what data designs might the developer implement to prepare for the future?…
Next, we’ll review changes to Full-Text Search in PostgreSQL 9.6, and compare these with other more-specialized approaches. Along the way we touch upon PostgreSQL Foreign Data Wrappers (a super addition to any Omnis Developer’s toolkit) and SphinxSearch in making available a body of data particularly useful to Omnis Developers. What role might Machine Learning play in all this?