Project

BBDCII

Berliner Big Data Center

Berliner Big Data Center

  • Duration:

Goals

In order to optimally prepare industry, science and the society in Germany and Europe for the global Big Data trend, highly coordinated activities in research, teaching, and technology transfer regarding the integration of data analysis methods and scalable data processing are required. To achieve this, the Berlin Big Data Center is pursuing the following seven objectives:

  1. Pooling expertise in scalable data management, data analytics, and big data application
  2. Conducting fundamental research to develop novel and automatically scalable technologies capable of performing “Deep Analysis” of “Big Data”.
  3. Developing an integrated, declarative, highly scalable open-source system that enables the specification, automatic optimization, parallelization and hardware adaptation, and fault-tolerant, efficient execution of advanced data analysis problems, using varying methods (e.g., drawn from machine learning, linear algebra, statistics and probability theory, computational linguistics, or signal processing), leveraging our work on Apache Flink
  4. Transfering technology and know-how to support innovation in companies and startups.
  5. Educating data scientists with respect to the five big data dimensions (i.e., applications, economic, legal, social, and technological) via leading educational programs.
  6. Empowering people to leverage “Smart Data”, i.e., to discover newfound information based on their massive data sets.
  7. Enabling the general public to conduct sound data-driven decision-making.

Sponsors

Federal Ministry of Education and Research (BMBF)

Federal Ministry of Education and Research (BMBF)

Images

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Publications about the project

Philipp M. Grulich Adrian Michalke

In: International Workshop on Data Management on New Hardware. International Workshop on Data Management on New Hardware (DaMoN-2021) Pages 1-8 8 International Workshop on Data Management on New Hardware 2021.

To the publication
Aleksandra Gabryszak, Leonhard Hennig

In: Proceedings of ACL 2020. Annual Meeting of the Association for Computational Linguistics (ACL-2020) July 5-10 Seattle WA United States ACL Association for Computational Linguistics 6/2020.

To the publication
Aleksandra Gabryszak, Leonhard Hennig

In: Proceedings of ACL 2020. Annual Meeting of the Association for Computational Linguistics (ACL-2020) July 5-10 Seattle WA United States Association for Computational Linguistics 6/2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz