Anybody working with enterprise intelligence, knowledge science, knowledge evaluation, or cloud computing can have come throughout SQL sooner or later. We will use it to extract, manipulate and analyze knowledge — in relational databases in addition to in fashionable cloud environments. For a Salesforce Knowledge Cloud implementation, I needed to brush up on my SQL and knowledge modeling information.
Fun Truth: Are you aware which is probably the most generally used SQL command?
Learn to the tip of the article and also you’ll discover out 😉
Content material
1 — What are data lakes, data warehouses and data lakehouses?
2 — What is the difference to a business intelligence tool & cloud storages?
3 — Why SQL & Data Modeling is important for Data Lakehouses or specific tools such as Salesforce Data Cloud
4 — Basics of SQL & Data Modeling for Cloud Applications
5 — Differences between Salesforce Data Cloud and other Cloud Tools
6 — Key Use Cases of Data Lakehouses for Data Scientists
7. Final Thoughts
Once we discuss knowledge platforms or knowledge architectures, we have to perceive what knowledge lakes, knowledge warehouses and knowledge lakehouses are. Since we stay in a world in which there’s increasingly more knowledge — just a few years in the past it was all the time stated that ‘knowledge is the brand new gold’ — we consequently additionally want techniques that may retailer, course of and make the most of massive…