
Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide
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This chapter included complete coverage of the DP-900 Azure Data Fundamentals exam’s Skills Measured area – Describe the Common Elements of Large-scale Analytics.
You started this chapter by exploring considerations for data ingestion and processing, and understanding how to select appropriate technologies based on data variety, volume, and processing needs. This foundational knowledge is crucial, as effective data ingestion ensures that the right data is captured and made available for analysis promptly.
Then, the chapter delved into options for analytical data stores, discussing different architectures such as data warehouses, data lakes, and data lakehouses. Learning about these options is essential for understanding how to store and manage data in a way that supports diverse analytical workloads and enables actionable insights.
Finally, you explored the various Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks...