About the course

'Deep Dive in Delta Lake using Databricks with End to End Project' is an immersive course that provides a comprehensive understanding of Delta Lake, a powerful open-source storage layer for big data processing, and how to leverage it using Databricks. With hands-on experience and a step-by-step approach, this course explores the core concepts, architecture, and best practices of Delta Lake. Throughout the course, you will gain valuable insights into data lakes, data ingestion, data management, and data quality. You will learn the advanced capabilities of Delta Lake, including schema evolution, transactional writes, asset management, and time travel. Moreover, this course covers how to integrate Delta Lake with Databricks, a cloud-based platform for data engineering and analytics. You will witness the seamless integration of Delta Lake with Databricks, empowering you to perform analytics, data engineering, and machine learning projects efficiently using these technologies. To enhance your learning experience, this course also includes an end-to-end project where you will apply the acquired knowledge to build a real-world data solution. You will design a data pipeline, perform data ingestion, transform data using Delta Lake, conduct analytics, and visualize the results. This hands-on project will solidify your understanding and provide you with practical skills applicable to various data-driven projects. By the end of this course, you will be equipped with the expertise to leverage the power of Delta Lake using Databricks and successfully implement scalable and reliable data solutions. Whether you are a data engineer, data scientist, or data analyst, this course offers immense value in advancing your big data skills and accelerating your career in the field of data engineering and analytics.