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Sustainable Data Lakes for Extreme-Scale Analytics

Sustainable Data Lakes for Extreme-Scale Analytics

Objective

Data lakes are raw data ecosystems, where large amounts of diverse data are retained and coexist. They facilitate self-service analytics for flexible, fast, ad hoc decision making. SmartDataLake enables extreme-scale analytics over sustainable big data lakes. It provides an adaptive, scalable and elastic data lake management system that offers: (a) data virtualization for abstracting and optimizing access and queries over heterogeneous data, (b) data synopses for approximate query answering and analytics to enable interactive response times, and (c) automated placement of data in different storage tiers based on data characteristics and access patterns to reduce costs. The data lake’s contents are modelled and organised as a heterogeneous information network, containing multiple types of entities and relations. Efficient and scalable algorithms are provided for: (a) similarity search and exploration for discovering relevant information, (b) entity resolution and ranking for identifying and selecting important and representative entities across sources, (c) link prediction and clustering for unveiling hidden associations and patterns among entities, and (d) change detection and incremental update of analysis results to enable faster analysis of new data. Finally, interactive and scalable visual analytics are provided to include and empower the data scientist in the knowledge extraction loop. This includes functionalities for: (a) visually exploring and tuning the space of features, models and parameters, and (b) enabling large-scale visualizations of spatial, temporal and network data. The results of the project are evaluated in real-world use cases from the business intelligence domain, including scenarios for portfolio recommendation, production planning and pricing, and investment decision making. SmartDataLake will foster innovation and enable European SMEs to capitalize on the value of their own data lakes.
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Coordinator

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

Address

Artemidos 6 Kai Epidavrou
151 25 Maroussi

Greece

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 853 125

Participants (7)

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ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

EU Contribution

€ 760 000

TECHNISCHE UNIVERSITEIT EINDHOVEN

Netherlands

EU Contribution

€ 569 637,50

UNIVERSITAT KONSTANZ

Germany

EU Contribution

€ 425 000

RAW LABS SA

Switzerland

EU Contribution

€ 411 750

SPAZIODATI SRL

Italy

EU Contribution

€ 302 500

SPRING TECHNO GMBH & CO KG

Germany

EU Contribution

€ 300 937,50

SYNYO GmbH

Austria

EU Contribution

€ 322 500

Project information

Grant agreement ID: 825041

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2021

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 3 945 450

  • EU contribution

    € 3 945 450

Coordinated by:

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

Greece