Best ways of handling data using sql, pandas. SQL and Pandas both do these things, but each shines in different ways. here’s a clean, scenario‑driven map of all the major ways to handle data using SQL and Pandas, side by side.

The one behind most of todays Data operations is SQL.Even though we see multiple Versions by each one, but the root of all this sql versions comes from standard SQL

A clear scenario‑driven map of all the major ways to handle data using SQL and Pandas. Learn all at once place , the simple way of Querying, Transforming and Analyzing the data using both of this easy but powerful languages.

Kafka’s primary purpose is to act as a distributed, high‑throughput, fault‑tolerant event streaming platform that lets different systems communicate through real‑time data. Kafka lets you send data from one system to another reliably, quickly, and at massive scale.