Abstract
Relational databases keep structured data that are easy to retrieve and consume. You can define data dependencies and relationships with ease and can quickly perform operations on the data, along with any associated relationships, using the Structured Query Language (SQL). However, when the volume of the data grows, then new challenges occur when it comes to extracting meaningful information from the data that can generate enhanced insights.
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© 2024 Anjani Kumar, Abhishek Mishra, and Sanjeev Kumar
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Kumar, A., Mishra, A., Kumar, S. (2024). Data Lake, Lake House, and Delta Lake. In: Architecting a Modern Data Warehouse for Large Enterprises . Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-0029-0_3
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DOI: https://doi.org/10.1007/979-8-8688-0029-0_3
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 979-8-8688-0028-3
Online ISBN: 979-8-8688-0029-0
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