Databricks Notebook
Databricks Notebook is an interactive, web-based interface within the Databricks platform that allows data scientists, engineers, and analysts to write, run, and collaborate on code in languages like Python, SQL, Scala, and R. It integrates with Apache Spark for distributed data processing and supports features like version control, visualization, and automated job scheduling. Notebooks enable iterative development and documentation of data workflows, combining code, text, and visual outputs in a single environment.
Developers should use Databricks Notebook when working on big data analytics, machine learning projects, or ETL pipelines that require scalable processing with Apache Spark in a collaborative cloud environment. It is ideal for teams needing to share and reproduce analyses, as it provides a unified workspace for data exploration, model training, and deployment, often used in industries like finance, healthcare, and e-commerce for real-time insights.