Azure Interview: Data Lake Storage Gen2, Synapse, and ADF Explained

In this in-depth Azure interview, we explore the differences between Azure Synapse Analytics and Azure Data Lake, providing key insights into when to choose each for your data needs. You’ll learn how Azure Synapse integrates big data and data warehousing capabilities, while Azure Data Lake offers scalable, cost-effective storage for raw and unstructured data.

We also cover essential topics such as:

How to secure sensitive data in Azure Data Lake Storage (ADLS) using Azure Active Directory (AAD), role-based access control (RBAC), and encryption techniques.
The role of Azure Data Factory (ADF) in orchestrating scalable data workflows and its seamless integration with other Azure services like Azure Synapse and Azure Databricks.
A comparison of Azure Data Lake Storage Gen1 vs. Gen2, highlighting the performance and cost benefits of Gen2, including enhanced integration with analytics tools and POSIX-compliant access controls.
Error management in Azure Data Factory’s ETL pipelines, including built-in retry policies, failure path handling, and real-time tracking with Azure Monitor.
This interview is perfect for data engineers, architects, and anyone looking to deepen their understanding of Azure's cloud services, data security, and advanced analytics capabilities.

#AzureSynapse #AzureDataLake #AzureDataFactory #CloudDataSecurity #AzureAnalytics #ETL