IoT Architectures. Evaluating Databases (SQL, NoSQL, NewSQL)

Ammeon will sponsor post event networking drinks in the Ferryman.

IoT Architectures. Sri Reddy, Ammeon

Internet of things are connecting the physical world to the internet. It is estimated that, there will be atleast 10 devices per each person in any technological society by 2020. Hadoop offers an ecosystem to acquire, process and analyze both structured and unstructured data. This talk highlights a reference architecture for deploying thousands of IOT devices and managing them with hadoop eco system. This talk indrodcues some highlevel concepts of IOT devices and highlights how various tools of hadoop ecosystem assists to manage those devices.

Ammeon is working towards providing a hadoop platform which enables businesses to leverage internet of things. This talk gives a glimpse of various market verticals, where hadoop ecosystem can play together with IOT networks.

When more is less: Evaluating new database technology in 2016, David Rolfe, VoltDB

It used to be we didn’t have much of a choice, and that you used whatever mature RDBMS your ‘tribe’ was comfortable with, be it Oracle, DB2 or SQL*Server. Over that last decade that’s changed completely and you now have about 100 database-like technologies to choose from. Pretty much every possible architectural approach is now available to you, but how do you select the right one?

We're moving from an era where information is human generated and moves at human speeds to one where sources of data like IoT and M2M will simply swamp legacy technologies, both with increased volumes of data and much lower timescales in which you can extract value from it. It used to be that selecting software involved checking boxes in feature matrices. But if speed is such a fundamental requirement we're going to have to look at things differently, as every extra features 'adds slowness'. As a consequence there is no one 'silver bullet' solution that can be deployed everywhere - technologies such as Kafka, Apache Spark, Storm and even VoltDB are all very good in specific scenarios but can not replace a legacy DB.

In this presentation David will explain how you go about categorizing and understanding the new database and persistence technologies that exist.

The Three I"s of Big Data, Insight, Innovation and Identity by Ian Sharp, Lead Data Scientist with Oracle

Insight and innovation aside, Big Data Social Media is increasingly about Identity; who we are, who we aspire to be, and in the case of Fraud and Theft, who we pretend to be. Data Science, Big Data Analytics and Machine Learning have emerged as the prime technologies and disciplines to distill nuances and value around these identities. This presentation discusses the challenges and opportunities of big data analytics against polyglot sources, the evolution of new languages and frameworks such as R, Python, SciKit Learn and Zeppelin and the operational settings around wider BI consumption, Streams and Apps APIs. Using leading edge reference cases, we will explore the stories and focus on the challenges for integration, governance and stability faced in their transition from Hadoop driven Innovation to Mainstream business success. Finally we will highlight some up and coming trends for the industry to watch.