TileDB and the New Data Economics - Stavros Papadopoulos | PyData Global 2021
TileDB and the New Data Economics
Speaker: Stavros Papadopoulos
Summary
The way organizations and individuals are producing, distributing and consuming data today is fundamentally flawed. TileDB is developing a universal database to reconcile the way data from any application domain is stored, to unlock the way it is shared and monetized, and to transform the way it is accessed via extreme interoperability and scalability.
Description
Existing data systems do not address modern challenges around the storage, distribution and consumption of diverse data. Scientists and analysts have reverted to flat files and data lakes, incurring performance costs due to inefficient file formats, excruciating hurdles for sharing those files, and productivity obstacles when collaborating and accessing the data from various tools.
This talk presents how TileDB heralds a new era for data economics. TileDB models all data, regardless of their domain and complexity, into multi-dimensional arrays. Based on this powerful data structure, TileDB builds a unified serverless database platform that offers secure and scalable collaboration and monetization capabilities, shifting the operational cost from the data owner to the data consumer. Finally, it provides unprecedented interoperability for accessing and analyzing the data via numerous efficient language APIs and integrations with popular tools.
Stavros Papadopoulos's Bio
Prior to founding TileDB, Inc. in February 2017, Dr. Stavros Papadopoulos was a Senior Research Scientist at the Intel Parallel Computing Lab, and a member of the Intel Science and Technology Center for Big Data at MIT CSAIL for three years. He also spent about two years as a Visiting Assistant Professor at the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology (HKUST). Stavros received his PhD degree in Computer Science at HKUST under the supervision of Prof. Dimitris Papadias, and held a postdoc fellow position at the Chinese University of Hong Kong with Prof. Yufei Tao.
GitHub: https://github.com/stavrospapadopoulos/
LinkedIn: / stavrospap
PyData Global 2021
Website: https://pydata.org/global2021/
LinkedIn: / pydata-global
Twitter: / pydata
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