In this advanced quest, participants will explore the intricacies of Azure Data Lakes, a robust solution for big data storage and analytics. The quest will begin with an overview of data lake architecture and its advantages over traditional data warehouses. Participants will engage in hands-on activities to set up an Azure Data Lake Storage account, learn to ingest data from various sources including Azure Blob Storage, and utilize Azure Data Factory for data transformation. The quest will also cover data querying using Azure Synapse Analytics and the integration of big data processing frameworks like Apache Spark. By the end of this quest, participants will have a comprehensive understanding of how to leverage Azure Data Lakes to manage and analyze large datasets effectively, preparing them for real-world applications in data engineering and analytics.
