Big Data Querying and Indexing

Efficient querying of Big Data relies on indexing and distributed SQL engines like Presto, Apache Drill, and Google Dremel. Indexing techniques such as inverted indexing (used in Elasticsearch) and B-tree indexing (used in PostgreSQL) enhance query speed. Apache Hive enables SQL-based querying over large datasets stored in Hadoop ecosystems.