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Big Data Analysis Interview with Ricardo Baeza-Yates VP of Research for Europe and Latin America at Yahoo!

Ricardo Baeza-Yates

Check out new Big Data analysis interview with Ricardo Baeza-Yates, VP of Research for Europe and Latin America at Yahoo!

 

 

The main suggested themes to invest in by Ricardo are:

a) what he called Hadoop++ the ability to handle graphs with trillions of edges as MapReduce doesn't scale well for graphs; and b) stream data mining - the ability to handle streams of large volumes of data. Handling lots of data in a 'reasonable' amount of time is key for Ricardo - for example, being able to carry out offline computations within a week rather than a year.

Additional point of interest of Ricardo was personalisation and its relation to privacy. Rather than personalising based on user data we should personalise around user tasks. More details in the interview!

Ricardo Baeza-Yates is VP of Research for Europe and Latin America, leading the Yahoo! Research labs at Barcelona, Spain and Santiago, Chile, and also supervising the lab in Haifa, Israel. Until 2005 he was the director of the Center for Web Research at the Department of Computer Science of the Engineering School  of the University of Chile; and ICREA Professor and founder of the Web Research Group at the Dept. of Information and Communication Technologies of Universitat Pompeu Fabra in Barcelona, Spain [1].

Big Data Analysis Interview with Peter Mika, Senior Scientist at Yahoo! Research Labs in Barcelona

New Big Data analysis interview with Peter Mika is out:

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The main theme for Peter was on using a machine learning, information extraction and semantic web technologies to reduce Big Data into more manageable chunks and how combined with new programming paradigms such as Hadoop we could now accomplish more. Background knowledge (in a simple form) enables Yahoo1 to understand that "Brad Pitt Fight Club" is a search for a movie with Brad Pitt playing the role of disambiguation.

Peter Mika is a researcher working on the topic of semantic search at Yahoo Research in Barcelona, Spain. Peter also serves as a Data Architect for Yahoo Search, advising the team on issues related to knowledge representation. Peter is a frequent speaker at events, a regular contributor to the Semantic Web Gang podcast series and a blogger at tripletalk.wordpress.com [1].

Big Data Analysis Interview with Jeni Tennison, Technical Director of the Open Data Institute

Jeni Tennison

Big data analysis interview with Jeni Tennison, Technical Director of the Open Data Institute, interviewed by John Domingue is out:

 

 

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Jeni discussed how open data can be found and combined to serve decision making. A key technology of interest, pointed out by Jeni, was discovery of datasets that are distributed in the internet and tools that allow achieving this in  an automated way.

Within the wider UK public sector, Jeni Tennison worked on the early linked data work on data.gov.uk, helping to engineer new standards for the publication of statistics as linked data; building APIs for geographic, transport and education data; and supporting the publication of public sector organograms as open data. She continues her work within the UK's public sector as a member of both the UK Government Linked Data Group and the Open Data User Group [1].

Big Data Analysis Interview with Prasanna Lal Das, Lead Program Officer Controllers World Bank

Big Data Analysis Interview with Prasanna Lal Das, Lead Program Officer (Knowledge & Innovation) at The World Bank is now available online:

The interview covered how he sees Big Data can help tackle poverty and proactively address corruption by support decision making based on real-time data. On behalf of  Prasanna we would like to stress out that the opinion provided in the interview and Prasanna himself should not be regarded as an expert in poverty or anti-corruption measures.

Prasanna Lal Das  is senior program officer, Office of the Controller, World Bank. He is a content strategist and KM practitioner with experience in journalism, computer games design, and management consulting. 

Big Data Analysis Interview with Usman Haque, Pachube Founder and Director Urban Projects Division COSM

Usman Haque

Check out our big data analysis interview with Usman Haque, Pachube Founder and Director Urban Projects Division COSM:

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Usman mostly covered a community oriented view to Big Data Acquisition which he says is very important if citizens and communities are to fully engage with important issues in the world. Key here is the fact that the community can overcome any deficiencies (errors or heterogeneities) by creating their own specific tools.

Usman Haque has worked a lot with interactive environments over the years, founded a web platform for building internet-connected devices, buildings and environments for storing, sharing and discovering of real time sensor, energy and environmental data, known as Pachube, acquired by LogMeln in 2011. Later on, Usman took part in launching COSM.com platform where he was heading up urban projects that dealt with data, sensors and internet of things.

Big Data Analysis Interview with Alon Halevy Research Scientist at Google

Alon Halevy

Big Data Analysis Interview with Alon Halevy Research Scientist at Google is now online:

As an MP3 audio file

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As a large video with ability to jump to a specific segment

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In the interview Alon drew upon his work on Google Fusion Tables which allows users to upload and store their datasets. A collection of technologies which are not necessarily new but are now beginning to work at scale are having an impact. These include: reconciling entities (saying X and Y are the same thing), resolving schema and ontology differences, extracting high quality data from the web, large ontology based datasets (typically built from wikipedia), crowd sourcing computation. 

Alon Halevy leads the Structured Data research team at Google Research. Prior to that, Alon was a professor of Computer Science at the University of Washington, where he started  UW CSE Database Group in 1998, and worked in the field of data integration and web data.

Big Data Analysis Interview with Hjalmar Gislason

Hjalmar Gislason is the founder and CEO of DataMarket.com. In this Interview Hjalmar Gislason covers the area of Data Visualization and Data Modelling via semantics. He believes the simplicity of use to be crucial to success and that lot of technologies like the Semantic Web Stack are over engineered. According to him there is a high demand for "democratization of semantic technologies" - making everything accessible through a web browser and dealing with legacy versions of IE.

The Flashmeeting is now online at: http://fm.ea-tel.eu/fm/fmm.php?pwd=467502-32874 and the MP3 Audio file is available at: http://fm.ea-tel.eu/flashmedia/flashmeeting/fm32874_467502-32874/mp3/aud...

DataMarket helps business users find and understand data, and data providers to efficiently publish their data and reach new audiences. DataMarket.com provides access to thousands of data sets holding hundreds of millions of facts and figures from a wide range of public and private data providers including the United Nations, the World Bank, Eurostat and the Economist Intelligence Unit. The data portal allows this data to be searched, visualized, compared and downloaded in a single place in a standard, unified manner. 

BigData technologies used to analyze and visualize the economic impact of the Mobile World Congress in Barcelona

Over 1,500 exhibitors and 70,000 visitors from 200 different countries attended the Mobile World Congress (MWC) in Barcelona between the 25th and 28th of February.The economic impact of the Mobile World Congress conference in Barcelona is estimated to be in excess of 300 million euros, making it one of the city’s most important annual events.
 
In order to showcase the real economic impact of the MWC on the city, and utilizing Big Data technology, BBVA (one of the biggest banks in Spain) analyzed millions of credit card and terminal transactions over the course of a two week period that were later visualized using CartoDB. This visualization makes use of the latest technologies such as HTML5 and Torque to temporally represent the millions of transactions conducted over the course of weeks. It is available at www.mwcimpact.com
 
Javier de la Torre, co-founder and CEO at CartoDB stated : “This visualization demo’s the power CartoDB in conjunction with Big Data to drive analysis and derive business insight from really large datasets.”
This project is the result of the collaboration with BBVA, the financial group that has made Big Data one of the focus points of its innovation strategy, lead by a specialized team from the BBVA Innovation Center. 
 
Detailed information on CartoDB are available at: http://cartodb.com/

Big Data Analysis Interview (with Frank van Harmelen)

Check Big Data Analysis interview with Frank van Harmelen!

The talk covers two large areas: a number of technologies which need to be deployed before large scale reasoning and then large scale reasoning itself.

Frank van Harmelen is a Dutch Computer Scientist and Professor in Knowledge Representation & Reasoning in the AI department at the Vrije Universiteit Amsterdam.

2nd Data Analysis Interview (with Sören Auer)

Second data analysis interview with Sören Auer out now!

Sören Auer in one of leading experts in Semantic Web technologies, particularly, in Linked Data area. Sören is a coordinator of EU-FP7-ICT LOD2 - Creating Knowledge out of Interlinked Data project, which aims to support a lifecycle of Linked Data on the Web ranging from extraction of information, authoring, quality analysis, visualization, user interfaces for exploration of Linked Data etc. Sören is a member of Leipzig research group dealing with such a well known project as DBPedia.

 

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by Dr. Radut