Intro to Databricks with PySpark

First, we’ll quickly go over the fundamental ideas behind Apache Spark and Databricks, their relationships with one another, and how to utilize them to model and analyze big data. <blockquote> Why should we use <a href="https://www.databricks.com/" rel="noopener ugc nofollow" target="_blank">Databricks </a>? </blockquote> Big data and machine learning-related tasks are primarily carried out using the cloud-based unified analytics platform called Databricks. It was founded by the team behind the open-source large data processing technology Apache Spark. Databricks is a flexible platform for a variety of data-related jobs since it offers an integrated environment for data engineering, data science, and data analytics. Few cases which might be considered for using Databricks are:- Unified Data Analytics: Databricks offers a platform that unifies business analytics, data science, and engineering. It makes it simpler to work with data over its full lifecycle by combining data storage, data processing, and machine learning capabilities on one platform. <a href="https://medium.com/@jaganjaganps46/intro-to-databricks-with-pyspark-2f55bd8f2e3c">Read More</a>