International Journal of Contemporary Research in Multidisciplinary

Abstract:

Databricks offers a comprehensive analytics platform designed for managing extensive data sets in the cloud. It is based on Apache Spark, an open-source cluster computing framework that is optimized for rapid processing of large-scale data workloads. The company was established by the same engineers from the University of California, Berkeley, who initially developed Spark, which subsequently became an Apache project. A significant innovation of Databricks is its 'lakehouse' architecture, which merges the advantages of data lakes (for the storage of vast quantities of raw data) and data warehouses (for structured analytics). Databricks utilizes cloud object storage as a cohesive interface for data engineering, data science, and analytics. This article demonstrates how Databricks implements the Lakehouse architecture to provide a contemporary cloud data platform.

Keywords:

Data bricks, lackhouse, cloud storage, artificial intelligence, machine learning

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