Features of Azure Data Lake Storage Gen2
Azure Data Lake Storage Gen2 is a set of capabilities dedicated to big data analytics, built on Azure Blob Storage. It provides a highly scalable, secure, and cost-effective data lake solution for your organization. Explore the key features that make Data Lake Storage Gen2 the ideal choice for modern data warehousing and analytics workloads.
Hierarchical Namespace
Enable Hadoop-compatible access to data, optimized for analytics workloads. The hierarchical namespace allows for directory structures and file operations similar to a traditional file system, improving performance for analytical jobs.
Massive Scalability
Handle petabytes of data with virtually unlimited capacity and performance. Data Lake Storage Gen2 scales seamlessly to accommodate your growing data needs without compromising on speed or accessibility.
Cost-Effectiveness
Leverage tiered storage options and cost-efficient pricing models. Optimize your storage costs by choosing the right tier for your data access patterns, from frequently accessed hot data to archival cold data.
Security and Compliance
Benefit from robust security features including access control lists (ACLs), role-based access control (RBAC), encryption at rest and in transit, and comprehensive compliance certifications.
- POSIX-like ACLs for fine-grained control
- Integration with Azure Active Directory
- End-to-end data protection
Integration with Azure Services
Seamlessly integrate with a wide range of Azure services for analytics, AI, and machine learning.
- Azure Databricks
- Azure Synapse Analytics
- Azure HDInsight
- Azure Machine Learning
Optimized for Analytics
Designed to optimize the performance of big data analytics workloads, reducing query times and improving overall efficiency for tools like Apache Spark and Presto.
Getting Started
To learn how to configure and use Azure Data Lake Storage Gen2, refer to the following resources: