Are you a Data Engineer, Data Analyst, Cloud Professional, Big Data Enthusiast, or someone who wants to learn modern data engineering and analytics using Azure Databricks? Imagine building scalable data pipelines on Azure Cloud, processing large datasets, leveraging the power of distributed computing, and working with the enterprise-grade tools that organizations around the world use to manage their data workloads.
Azure Databricks is one of the most popular cloud-based data platforms today, used for Data Engineering, Data Analytics, Big Data Processing, and Machine Learning workflows. By combining the power of Apache Spark with the scalability of Microsoft Azure, Azure Databricks helps organizations efficiently process, analyze, and manage data at scale.
In this course, you will learn Azure Databricks from scratch in a practical, hands-on way. Starting with the fundamentals, you will understand the evolution of modern data platforms, learn the core concepts of Apache Spark, set up the Azure environment, create an Azure Databricks workspace, work with notebooks and compute resources, integrate Azure Storage, process data using PySpark, and learn how to analyze data using SQL.
