Big Data: Paddy Powers' Data Lake & Data Intelligence made in Ireland

This is a past event

151 people went

Bank of Ireland

1 Grand Canal Square · Dublin 2

How to find us

Just beside the Bord Gais Energy Theatre. You can get the Dart to Grand Canal Docks (right from the station exit, left up towards Pearse street over the bridge and to the right) or you can get the No 1 bus down to Grand Canal Docks.

Location image of event venue


Fixing data swamps with elephants, Anthony O'Brien, Paddy Power

Paddy Powers' outcomes from a Hadoop/Data lake adventure.

As a growing online business PP's data requirements grow exponentially each year. Managing this data growth, and more importantly gaining insight from the mountain of information are key enablers for our continued success.
Beginning early 2015 PP embarked upon a discovery and POC process, to evaluate the benefits of deploying a data lake or logical data warehouse architecture. In our presentation we'll give an overview of the approach we took, some of the good bad and ugly parts of the technologies we tested and an insight into where we hope to go from here.

Kibi - Open source data discovery/business intelligence for big data (and it's brewed in Ireland). Giovanni Tummarello, Siren Solutions.

A few months ago we were moonstruck by Kibana and fell in love with its power and flexibility. Based on our many past experiences in Data Intelligence we went head down and created Kibi, a friendly will-be-kept-in-sync Kibana fork specialized in relational data/Data intelligence.
At its core, Kibi has both the user interface extentions and the backend Elasticsearch extentions to deal with relational data allowing joins across indexes and across external datasources (e.g. SQL).
The presentation is followed by a live demo of Kibi together with screenshots of Kibi in action in sectors such as market intelligence, life sciences, tax/fraud investigations, IP security among others.
Take a look at Kibi now and we'll talk about it at the meetup!

The event hashtag is #HUGIreland