Guy Lohman, IBM Almaden Research Center (Retired)

13-Mar-2017, 3 pm

Location:  DIMA, TU Berlin, E-N 719

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 At February, 24, 2017, Tilman Rabl, scientific coordinator of the BBDC, gave the keynote at the conference ”Big Data in der Amtsstube“ (Big Data in the public sector) at the Austrian embassy.

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Prof. Volker Markl, director of the BBDC, will give a keynote speech at the ICDE conference in San Diego on April 19, 2017.

The title of the keynote is "Mosaics: Stratosphere, Flink and beyond".

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Big Data Excellence in Germany and UK

March 1st, 2017 in Berlin

A joint event by the Berlin Big Data Center and UK Science and Innovation Network took place at Smart Data Forum.

The First Berlin Big Data Center Symposium Held in Berlin

The Berlin Big Data Center held its first Symposium on November 8th at the Smart Data Forum, located in Berlin. At this event, members of the BBDC presented the project’s interim results from two years of research.

Newsletter published

The first edition of the Big Data Research Newsletter has been publishes in November 2016. The main big data research centers of Germany inform about their work. Other issues will follow quarterly.

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Five Dimensions of Big Data

Big data is often defined as any data set that cannot be handled using today’s widely available mainstream techniques and technologies. The challenges of handling big data are often described using 3-Vs (volume, variety and velocity): high volume of data from a variety of data sources arriving with high velocity analysed to achieve an economic benefit. However, the 3-Vs fail to reflect complexity of “Big Data” in its entirety.

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According to the Opens external link in current windowHarvard Business Review, Data Scientist is “The Sexiest Job of the 21st Century”. Data scientists are often considered to be wizards that deliver value from big data. These wizards need to have knowledge in three very distinct subject areas, namely, scalable data management, data analysis and domain area expertise. However, it is a challenge to find these jacks-of-all-trades that cover all three areas. Or, as the Opens external link in current windowWall Street Journal puts it “Big Data’s Problem is Little Talent”. Naturally, finding talented data scientists is also a requirement, if we are to put big data to good use. If data analysis were specified using a declarative language, data scientists would not have to worry about low-level programming any longer. Instead, they would be free to concentrate on their data analysis problem. The goal of the Berlin Big Data Center is to help bridge the Talent Gap of Big Data through researching and developing novel technology.

Read more about it in the article of the VLDB keynote "Opens external link in current windowBreaking the Chains: On Declarative Data Analysis and Data Independence in the Big Data Era" by Volker Markl.