What is Azure Data Lake Storage?

Eliminate data silos by adopting a cohesive storage solution that improves cost efficiency through tiered storage options and strategic policy management. Safeguard data integrity with Azure Active Directory (Azure AD) authentication and role-based access control (RBAC), while enhancing data security with essential measures such as encryption at rest and advanced threat protection. This solution emphasizes strong security features, offering flexible protection strategies for data access, encryption, and network governance. It operates as a holistic platform for data ingestion, processing, and visualization, seamlessly integrating with popular analytics tools. Cost savings are realized by scaling storage and computing resources independently, utilizing lifecycle policy management, and applying object-level tiering. With Azure's vast global infrastructure, you can easily accommodate varying capacity requirements and manage data with ease. Moreover, the system supports the execution of extensive analytics queries with reliable high performance, ensuring that your data operations are both efficient and impactful. Ultimately, this approach empowers organizations to harness their data potential fully while maintaining stringent security and performance standards.

Screenshots and Video

Azure Data Lake Storage Screenshot 1

Company Facts

Company Name:
Microsoft
Date Founded:
1975
Company Location:
United States
Company Website:
azure.microsoft.com/en-us/services/storage/data-lake-storage/

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Video Library
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Azure Data Lake Storage Categories and Features

Big Data Software

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates