Why data centralization matters for retail
Retail businesses contend with data challenges unique to a fast-paced, high-volume industry.
Retail businesses contend with data challenges unique to a fast-paced, high-volume industry.
Whether your organization’s growth is led by product, marketing or sales, small proofs of concept can springboard you towards better data infrastructure.
Combine the flexibility of data lakes, governance of data warehouses and automated data movement.
Penguin Random House’s Pete Williams on riding the data maturity curve, people and data literacy and readiness to enable and exploit.
Stay on top of issues and easily forecast usage for Ably-powered realtime applications in your out-of-the-box Datadog dashboards. Cloud-based applications providing live user experiences at scale need to measure their realtime infrastructure’s state and health at all times. Imagine a customer support chat system supporting thousands of businesses or a live sport event delivering updates to millions of fans.
Databricks’ 2023 State of Data + AI report highlights the importance of the modern data stack in leveraging AI.
Flexible, affordable large-scale storage is the essential backbone for analytics and machine learning.
In a world where user experience and IT support can mean the difference between hitting or missing your ARR marks, businesses have to find smarter ways to build workflows and support their IT departments. That’s where companies like ServiceNow come into play. A few years back, we created our ServiceNow SpotApp, a pre-built analytics template to help companies analyze and understand their data—so they can increase efficiencies across their complex IT environments.
Keep track of new releases for our data connectors and data models for dbt with this regularly updated list.