Description
In the course, "Build End to End Project for Azure Data Engineering | Azure | Databricks |," you will learn how to effectively utilize Azure services and Databricks to create a data engineering project from start to finish. Throughout this course, you will gain a comprehensive understanding of the Azure ecosystem and its various services specifically tailored for data engineering. You will dive deep into Azure Data Lake Storage, Azure Databricks, and Azure Data Factory, learning how to leverage their functionalities to design and implement scalable data engineering solutions. The course will guide you on building an end-to-end project, starting from data ingestion, processing, transformation, and finally storing the data in Azure Data Lake Storage. You will explore various techniques for data integration, such as data pipelines and data orchestration using Azure Data Factory.
Furthermore, you will delve into Databricks, a cloud-based Apache Spark analytics platform, and learn how to utilize its powerful features for data processing and analysis. You will discover how to perform data transformations, conduct complex analytics, and implement machine learning models in Databricks using different programming languages like
Python or Scala. By the end of this course, you will have the skills and knowledge needed to develop and deploy an efficient and scalable data engineering project on
Azure, utilizing services like Azure Data Lake Storage, Azure Databricks, and Azure Data Factory.
Whether you are a data engineer, data scientist, or a professional working with big data, this course will equip you with the necessary tools to tackle real-world data engineering challenges in the Azure environment.
