Data Lake

Glossary Page

A data lake is a type of storage repository that can hold an extensive amount of raw data in its original format until it is required for analytics applications. Unlike traditional data warehouses that organize data in hierarchical dimensions and tables, a data lake utilizes a flat architecture to store data, typically in files or object storage. This flat architecture provides users with greater flexibility in terms of data management, storage, and usage.

https://www.techtarget.com/searchdatamanagement/definition/data-lake external-link

Latest Webinars

Latest Articles

Blog Post Cover

Catena-X data ecosystem U.S. expansion: AIAG hub at IMDS-AIAG 2024

Catena-X partners with AIAG to launch a North American hub, advancing data sharing for sustainability in automotive supply chains. Their innovative approach uses Web3 technology for secure, scalable, and efficient data exchange, including live demonstrations of Product Carbon Footprint tracking.

Read more

external-link
Author image

Chris S. Langdon

Nov 20, 2024

Blog Post Cover

Dansk Data Space Forum: T-Systems demonstrates the accessibility and value of dataspaces

The Danish Data Space Forum and Gaia-X Hub launch showcases how businesses can securely share data using advanced dataspaces. T-Systems offers accessible, standardized solutions enabling organizations to focus on unlocking economic benefits rather than managing complex technology, supporting all industries in leveraging dataspaces effectively.

Read more

external-link
Author image

Nina Popanton

Nov 15, 2024

Blog Post Cover

The Global Data Space family gathers in Vienna: A day of innovation and insight

The Global Data Spaces Connect in Vienna highlighted the transition from technical exploration to practical, business-driven applications of dataspaces. With insights from experts like Wolfgang Ebner, Nina Popanton, and Sofie Verbrugge, the event showcased cross-domain innovations, sustainable business models, and real-world applications in fields such as smart cities and healthcare. Leaders emphasized the importance of collaboration, robust business cases, and scalability, underscoring dataspaces' potential to transform industries.

Read more

external-link
Author image

Nina Popanton

Nov 13, 2024