From the course: Everybody's Introduction to Snowflake
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Data engineering workloads with Snowflake - Snowflake Tutorial
From the course: Everybody's Introduction to Snowflake
Data engineering workloads with Snowflake
- Data engineers are focused on managing and preparing data for use and analytics. This work includes collecting data, making sure it's correct, changing it to be useful for analysis, and sorting it in an organized way. Data engineers make sure that data moves smoothly from where it comes from to where data analysts use it. It's an important role for analytics teams because good analysis depends on having good quality data. Engineers also make sure that data is clean, in the right format and stored correctly so that analysts can use it effectively. As companies are handling more and more data, it's even more important to have good data engineering. Without it, data analysts would have a hard time doing their job well or spend more time being engineers rather than being analysts and this could lead to poor business decisions. Let's evaluate the steps a data engineer can take and how it maps to Snowflake. Data engineers first ingest raw data from various sources. This could be from…
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