Big Data World 12 - 13 March 2019
The Data Science Foundation is proud to be supporting Big Data World. The event takes place 12 – 13 March 2019 at Excel, London and is aimed at everyone working with data. There will be hundreds of hours of free education from over 120 expert speakers covering all the key big data topics. And there will be thousands of your peers, offering you an invaluable time of networking and idea-sharing.
Confirmed speakers for Big Data World now include:George Zarkadakis, Digital Lead - Willis Towers WatsonAmit Varma, Head of Technology - Citi GroupDan Kellett, Senior Director of Data Science - Capital OneChris Combemale, Group CEO - DMA GroupPaul Russell, Director of Analytics - Experian UK &IMohammad Shokoohi-Yekta, Data Scientist - AppleAndrew Drooker, Director Gloal Applications Development - UPSArjun Panesar, Head of AI - Diabetes.co.ukApurva, Kumar Sinha - Head of Innovation and Information ManagementJanthana Kaenprakhamroy, CEO and Founder - TapolyJean Ortiz Perez, Head of Analytics I&A - Collinson Group Ian Thompson, Head of BI - King
Cancer Research Special Interest Group
The Data Science Foundation will launch a cancer research discussion group within the next couple of months. The idea is to bring together people with relevant expertise and or access to resources and to initiate a discussion on how the group might contribute to work being done in this field.
Four highly qualified people have agreed to join the Special Interest Group within hours of this article being published. Our target is to launch the group with at least 12 members. Thank you for the support, a progress update and an agenda for the group will be published at the beginning of February.
Discussion on the use of graph theory/network science in the field of business intelligence.
Hey I would love to start a discussion on the application of graph theory and graph databases in the context of business data. I have identified several applications but it would be interesting to hear your thoughts on these and other applications you can think of!Applications that I have identified are:Airport connectionsDelivery logistics - like the one eBay implementedCo-purchasing networksWebsite navigationBank transfers
Update: I had a lot of great answers when I posted this question on Twitter @ToriTompkins.Graph Theory has some good applications when resolving dependencies between source files. This involves determining what processes can be run after a source file has loaded by querying for all associated nodes. Collaborative working. For example some issues on GitHub are tagged by multiple users. Social network analysis can be used to identify shortest paths, influencers, cliques etc.Many processes in business intelligence have complicated and moving parts for example percurement, contracts or fraud. Graph theory can be utilised to uncover hidden connections.Any more suggestions are welcome!
Really Big Data At Walmart: Real-Time Insights From Their 40+ Petabyte Data Cloud
To make sense of all 2.5 petabytes of information, and put it to work solving problems, the company has created what it calls its Data Café – a state-of-the-art analytics hub located within its Bentonville, Arkansas headquarters.Walmart – the world’s biggest retailer with over 20,000 stores in 28 countries, is in the process of building the world’ biggest private cloud, to process 2.5 petabytes of data every hour.https://www.forbes.com/sites/bernardmarr/2017/01/23/really-big-data-at-walmart-real-time-insights-from-their-40-petabyte-data-cloud/