Azure Data Lake Storage
Updated Nov 16, 2020 ·
NOTES
This is not an exhaustive documentation of all the existing Azure Services. These are summarized notes for the Azure Certifications.
To see the complete documentation, please go to: Azure documentation
Overview
Azure Data Lake Storage is a service designed for storing and analyzing large volumes of data. It combines the large-scale storage capabilities of Blob Storage with a hierarchical file system, enabling efficient data organization and access for analytical purposes.
This service is suitable for handling structured, semi-structured, and unstructured data at a scale of petabytes, making it ideal for big data analytics projects.
Use Cases
- High-Volume Data: Traffic and utility datasets that require complex analysis for planning and forecasting
- Unified Space for Various Data Types: Comparable to a comprehensive library offering a unified space for different types of data