The Challenge of Building Effective Data Lakes
Summary: Data lakes offer scalable cloud storage for analytics but lack context, quality, and discoverability, eroding trust in analytics. Emphasizes real-world implementation patterns and the need for automated, learning-based discovery at enterprise scale. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Awez Syed (Databricks)
BibTeX Citation
@inproceedings{syed_sigmod20,
title = {{The Challenge of Building Effective Data Lakes}},
author = {Syed, Awez},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3393816},
url = {https://dl.acm.org/doi/10.1145/3318464.3393816},
year = {2020}
}
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