OLAP

Databases for Analytics: OLAP, OLTP, and Beyond Databases for analytics move data from daily tasks to business insights. The two main kinds are OLTP and OLAP. OLTP keeps operations fast and reliable, while OLAP supports deep analysis. In many teams, both roles are needed, sometimes in the same system and sometimes in separate ones. OLTP, or online transaction processing, handles many small, quick writes. It keeps data consistent and supports operations like placing orders, updating stock, and managing accounts. OLTP databases are usually highly normalized to avoid duplication and ensure accuracy. Typical response times are short, which keeps apps feeling snappy for users. ...

Columnar Storage and Analytics Databases Columnar storage stores data by column, not by row. In analytics work, you often read many rows but only a few columns. By organizing data column by column, a database can read just the needed parts, skip the rest, and move less data. This makes queries faster and uses resources more efficiently. The idea fits how people ask questions like “What are the sales by month and by region?” ...