There are different solutions data professionals are trying to create and it is important to understand what tool is right for the job. In this course, Data Literacy: Essential of Azure DataBricks, you’ll learn about the different components that make up Azure DataBricks. First, you’ll explore its history and its relationship to common data solutions like Big Data, Machine Learning and Spark. Next, you’ll discover what the Azure DataBricks workspace is and how data can be ingested into it. Finally, you’ll learn about the list of capabilities within the workspace and how it integrates with other data tools. When you’re finished with this course, you’ll have the skills and knowledge of Azure DataBricks as a tool to create Big Data and Machine Learning Solutions.
Course Overview Hi, everyone. My name is Ifedayo Bamikole, and welcome to my course on the Essentials of Azure Databricks. I am a data and AI cloud solutions architect at Microsoft. Data has become an intricate part of our day‑to‑day lives, and one of the tasks data professional face is finding the right tool to process large amounts of data. This is where Azure Databricks comes in. This course is going to give you a foundational knowledge of Azure Databricks. Some of the topics we're going to cover include key components of a Azure Databricks, understanding data ingestion and processing in Azure Databricks, as well as listening to some of the capabilities of Azure Databricks. By the end of this course, you'll understand what the Azure Databricks workspace is and how data can be ingested into it. Before beginning this course, you should be familiar with the Azure portal. You should also have some Azure fundamental knowledge and some Azure data services knowledge as well. I hope you'll join me on this journey to learn how to process your big data and machine learning solutions with the Essentials of Azure Databricks course, at Pluralsight.