In this episode of A Side of Data with Corinna Giebler we discuss the topic of data lakes. How is it different from the data warehouse when storing big data in enterprises?
We touch upon questions: How can data lakes influence organizations? Where do they fit in the data science/data management/machine learning pipelines?
We talk about use cases for the technology and which are the main advantages. Also, we give examples of software products.

Links to the resources mentioned in the episode:
[1] Mathis, C. 2017. Data Lakes. Datenbank-Spektrum. 17, 3 (Nov. 2017), 289–293.
[2] Giebler, C. et al. 2019. Leveraging the Data Lake - Current State and Challenges. Proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2019) (2019).
[3] Fang, H. 2015. Managing data lakes in big data era: What’s a data lake and why has it became popular in data management ecosystem. Proceedings of the 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER 2015) (Jun. 2015).


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