Databases and data warehouses are related but not the same. How?? let’s dive into it
A database is a way to record and access information from a single source. A database is often handling real-time data to support day-to-day business processes like transaction processing.
A data warehouse is a way to store historical information from multiple sources to allow you to analyze and report on related data (e.g., your sales transaction data, mobile app data, and CRM data). Unlike a database, the information isn’t updated in real time and is better for data analysis of broader trends.
Wondering about Data lake?👇
A data lake is for storing any and all raw data that may or may not yet have an intended use case. A data warehouse, on the other hand, holds data that has already been processed and filtered, so it’s ready to be used and analyzed.
A data lake, hosted on big data platforms like IBM or Hadoop, is ideal for data scientists and analysts to store raw data until they know what they want to do with it, or as a repository to store large amounts of unstructured data.
A data warehouse is perfect for giving access to structured and semi-structured data to multiple business users so they can run queries against it and make decisions quickly.
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