Cloud Analytics Migration: Go With The Need

The Cloud offers access to new analytics capabilities, tools, and ecosystems that can be harnessed quickly to test, pilot, and roll out new offerings. However, despite compelling imperatives, businesses are concerned as they move their analytics to the Cloud. Organizations are looking at service providers who can help them allocate resources and integrate business processes to boost performance, contain cost, and implement compliance across on-premise private and public cloud environments.

The most cited benefit of running analytics in the Cloud is increased agility. With computing resources and new tools available on-demand, analytics applications and infrastructure can be developed, deployed, and scaled up — or down — much more rapidly than can typically be done on-premises.  

Understand how Snowflake has Revolutionised Database Architecture!

This article describes the traditional database and machine architectures from Oracle, Microsoft, and IBM. It provides a high-level description of the main solutions, including shared memory, shared disk, and shared nothing. It describes how each option attempts to address the challenges of performance and scalability and describes the advantages and drawbacks of each.

It goes on to explain how a Data Warehouse startup has revolutionised database design with a solution designed for the cloud.