
Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide
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Depending on an organization’s specific needs and requirements, the technologies used to provide data analytics solutions and data ingestion and processing needs can vary.
When considering data ingestion and processing, organizations must evaluate several factors to select technologies that align with their needs. Key considerations include the variety of data types (structured, semi-structured, and unstructured), the volume of data being processed, the preference for real-time versus batch processing, integration with existing systems, scalability, performance, and cost constraints.
For example, Netflix utilizes real-time data ingestion and warehousing to analyze user behavior and optimize content recommendations efficiently. Airbnb adopts a data lake architecture for storage and batch processing, which helps them analyze large datasets related to user preferences and pricing strategies. Similarly, Uber uses real...