Big Data Case Studies: AIB, Recommenders at Scale, Data Catalogs

HUG Ireland has the pleasure of announcing another meetup. This time at AIB Bank Centre, Ballsbridge on October 6th. Event hashtag is #HUGUseCase

There is an action packed agenda for you that is as follows:

Hadoop and BIG Data at Allied Irish Banks

Allied Irish Banks (AIB) is reinventing itself as a streamlined, technology-led bank that delivers consistently great service. They are in the process of complementing their large-scale batch data analysis with large-scale, real-time data analysis. With new channels, data types, sources and technologies, AIB was challenged to bring these all together to meet the needs of today’s customers. While deploying a tag management system across their websites, AIB investigated Big Data technologies through research and workshops. We have currently deployed Hadoop to complement our data warehouse and are beginning proof of concepts on near real time streaming solutions such as IBM Infosphere Streams and Spark Streaming.

Recommenders at Scale. Dr Eoin Hurrell, Data Research Scientist

Recommenders are hugely valuable parts of many online businesses, leading customers to more interesting products. They are also some of the most information-hungry algorithms. This talk will explore recommendation and how to do it at scale, touching on a few options in the Hadoop ecosystem, and their use in the field. It will explore the use of Spark's Python bindings to generate recommendations, and how this can be done using AWS.

Data Catalogs. Organizing Enterprise Information in the Data Lake. Uli Bethke, Sonra

The advent of the data lake and data discovery has democratized the access to enterprise data. But that won’t help if analysts can’t find the right data. Data Catalogs can solve this problem. The presentation will cover the various concepts and provide a walkthrough of one of the cataloging tools.