
Exploring the Pros and Cons of Microsoft Azure Data Lake
The pros and cons of Azure Data Lake: scalability, Azure integration, security and pay-as-you-go cost, weighed against complexity, governance and performance.
Big data on Microsoft Azure: what Azure Data Lake does well and where it falls short, and the analytics tools that turn volume into insight.

The pros and cons of Azure Data Lake: scalability, Azure integration, security and pay-as-you-go cost, weighed against complexity, governance and performance.

Why so much big data goes unused, and a look at analytics tools that can help: Azure HDInsight, SAP Analytics Cloud, Apache Hadoop and MongoDB for analytics.
A platform to build, a migration to plan, or one of our products to evaluate. It starts with a conversation, and you get a scope and a flat fee before any work starts.