thoughtSpot

ANALYST REPORT

Six Requirements of the Modern Data and Analytics Cloud Stack

Six Requirements of the Modern Data and Analytics Cloud Stack

Learn the building blocks of a truly modern data and analytics cloud stack.

Today, many organizations have realized their current data and analytics stack cannot meet their business needs. New data sources, massive amounts of data, and the Simply moving existing analytics infrastructure—including traditional on-premises data warehouses and desktop analytics tools—to the cloud has failed to deliver results, however. To gain the full benefits of the cloud, organizations must build a new, modern data and analytics stack.

The pillars of this stack must include the cloud data platform, modern data pipeline tools that can handle data at scale, and a modern cloud analytics platform that utilizes augmented technology such as natural language query (NLQ) and AI to deliver real-time insights.

This TDWI Checklist Report examines what a modern stack means today and explores six characteristics of a truly modern data and analytics cloud stack.

The last 18 months have made digital transformation an urgent imperative and the cloud has never been more pivotal in powering our new digital economy
- Alex Kayyal, Managing Partner, Salesforce Ventures

COMPLIMENTARY REPORT