Overview
In this 6 hr course, you will explore the Microsoft Azure Data Lake Storage Service and learn how to manage and process data using tools like Azure Databricks and HDInsight. This course provides a comprehensive guide to ingesting, processing, and exporting data in ADLS, focusing on practical applications and efficiency improvements.
What I will be able to do after this course
- Understand the architecture and features of the Microsoft Azure Data Lake Storage Service (Gen1 and Gen2).
- Learn to process and analyze data using Azure Databricks and Azure HDInsight efficiently.
- Develop expertise in ingesting data into Data Lake and configure security settings.
- Monitor and optimize the performance of your Data Lake storage for better results.
- Apply proven strategies for data lifecycle management and ensure reliable operations.
Course Instructor(s)
Eshant Garg is an experienced data engineer and certified Microsoft Azure professional with a passion for teaching. With years of experience in big data analytics and cloud solutions, Eshant delivers practical insights and hands-on tutorials. His teaching approach focuses on clarity and practical demonstrations, ensuring learners grasp complex concepts effectively.
Who is it for?
This course is ideal for Azure data engineers, BI developers, and analytics professionals looking to deepen their knowledge of Azure Data Lake. It caters to learners with a basic understanding of databases and data warehouses, aiming to become proficient in big data processing and management. It is also suitable for professionals looking to enhance their cloud-based data processing skills.