SQL on Spark

SQL on Spark refers to using the SQL language to analyze and manipulate large amounts of data stored across many computers, leveraging Apache Spark’s distributed computing power. It allows users to write familiar SQL queries to process big data efficiently without needing specialized programming knowledge. Spark handles the heavy lifting by distributing the data and computations, enabling fast, scalable analysis for complex datasets. This combination makes it easier for professionals to perform data analysis, reporting, and insights on large-scale data environments using a familiar language, all within a high-performance framework.