Data Engineering Hands-on with Databricks and Python in 30 minutes

In today’s tech landscape, you’re surrounded by buzzwords like Big Data, Data Engineering, data ingestion and transformation, Python, Spark, and DataBricks. You may have read numerous articles and definitions, yet still find yourself wondering about their practical applications. In this piece, you’ll get a hands-on opportunity to actively code these concepts and personally engage with them in under 30 minutes. You’ll be pleasantly surprised by how straightforward the coding process is. First, what is Databricks? DataBricks has been gaining popularity by data engineering community and companies, and is considered an industry-leading, cloud-based data engineering tool used for processing and transforming massive quantities of data. DataBricks is an unified platforms containing many tools and concepts that maybe confusing to beginners. The primary objective of this article is to offer beginners a rapid hands-on experience with DataBricks, programming the process of data ingestion and transformation. We’ll become acquainted with terms like PySpark and SparkSQL along the way. This article streamlines the process, requiring no dataset downloads or environment setups on your part. I’ll provide step-by-step instructions to help you grasp the power and versatility of DataBricks. <a href="https://medium.com/@patrick_nguyen_74695/quick-data-engineering-experience-using-databricks-community-edition-dc9c76aeaf9e">Click Here</a>