Ingest data with Databricks Autoloader

<p>As a relatively new user to&nbsp;<a href="http://www.databricks.com/" rel="noopener ugc nofollow" target="_blank">Databricks</a>, I wanted to introduce a great tool that can take your big data from cloud storage to your data pipelines. Within Databricks,&nbsp;<strong>Databricks Autoloader</strong>&nbsp;is capable of ingesting millions of files per hour from your cloud service provider in a multitude of formats such as JSON, CSV, Parquet, Text, Avro, etc. From a data engineering perspective this is a great way to handle big data pipelines for your organization and teams. Let me go more in depth on what this can do for your big data projects.</p> <blockquote> <p>W<strong>hat is Databricks?</strong></p> </blockquote> <p>Databricks is an American software company founded by the creators of Apache Spark. Using this web-based platform with Spark and its cluster management allows data engineers and users the ability to bring reliable data to your data lakehouse. They have been fully in big data since 2013 and I see it growing more into the machine learning and data science space as generative AI and other use cases come into light.</p> <p><a href="https://matthewsalminen.medium.com/ingest-data-with-databricks-autoloader-7360c16b8608"><strong>Read More</strong></a></p>