Customers who are new to AWS want more value from their data. But they face challenges with their growing data volume and the increasingly diverse types of data that have to be used securely by many in their organization. The traditional on-premises solutions are expensive and do not scale well. Whereas a data lake is a flexible, secure repository that helps customers govern, discover, share, and analyze structured data (such as Excel files or web form results) and unstructured data (like text or video files) at any scale. The Cloud Data Lakes solutions on AWS addresses the inherent challenges to building, securing, and managing data lakes. These solutions help customers build data lakes quickly, simplify security management, and provide self-service access to those who need it.

AWS Services

Purpose-built cloud products

Showing results: 1
Total results: 1
  • Alphabetical (A->Z)
1
Back to top 

Partner Solutions

Software, SaaS, or managed services from AWS Partners

Showing results: 1-2
Total results: 2
  • Publish Date
  • Databricks Lakehouse Platform

    Simple, collaborative and open platform: This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It’s built on open source and open standards to maximize flexibility.
  • Snowflake AI Data Cloud

    Snowflake eliminates data silos to deliver a unified platform that makes data and AI easy, efficient, and trustworthy.
1
Back to top 

Guidance

Prescriptive architectural diagrams, sample code, and technical content

Showing results: 1-2
Total results: 2
  • Publish Date
1
Back to top