When building data warehouses, you’ll often face a classic challenge: how to track changes in dimension data over time. For example, what if a customer moves to a new city? Should you overwrite their old address or keep the historical record?
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When working with databases, business analysts often come across two common objects: stored procedures and views. Both play a key role in querying and managing data, but they serve different purposes. Understanding their differences helps analysts write better queries, collaborate effectively with engineers, and choose the right tool for their reporting needs.
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If you’ve worked with data at any level—business analyst, marketing manager, or even startup founder—you’ve probably heard the terms Business Intelligence (BI) and Data Science thrown around. Sometimes they seem interchangeable. Other times, people treat them like polar opposites.
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CTE (Common Table Expression) is a temporary result set defined within the execution scope of a single SELECT, INSERT, UPDATE, or DELETE statement.
Imagine you launch a new checkout banner promising free shipping. It feels good, it looks good—but does it actually boost purchases?
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