Interactive Query refers to an advanced technique for querying data in real-time. This technique allows users to quickly explore, analyze, and visualize large data sets. Interactive Query is a crucial component of modern data analytics, especially for organizations that rely on real-time insights to make informed business decisions.

Interactive Query works by breaking down complex queries into smaller, more manageable sub-queries that can be executed in parallel across multiple nodes. This technique allows for faster processing and quicker results. Interactive Query also allows users to interactively explore their data sets, allowing them to quickly pivot, filter, and sort their data on the fly.

One of the key benefits of Interactive Query is that it can handle data sets of virtually any size. This makes it an excellent choice for organizations that need to process large amounts of data quickly. Additionally, Interactive Query is highly scalable, making it an ideal choice for organizations that are expecting rapid growth or are working with rapidly changing data sets.

Overall, Interactive Query is an essential tool for any organization that is serious about leveraging data analytics to drive business success. It provides a powerful and flexible way to analyze data in real-time, enabling users to quickly gain insights that can help inform critical business decisions.