I Say “Metrics,” You Say “Multidimensional Data Models”
Kyligence explains how a unified semantic layer becomes the metrics for shaping a data-driven business.
Cloud data platforms are public or private cloud software systems built and operated with the primary purpose of managing data on the cloud.
Kyligence explains how a unified semantic layer becomes the metrics for shaping a data-driven business.
Environment-as-a-Service offers companies the chance to improve the development lifecycle in the cloud. Here’s what’s most important.
As companies migrate, IT professionals surveyed agreed that it’s essential to choose a cloud database vendor that supports multi-cloud capabilities.
Over the past two years, Google Cloud has launched new solutions and integrations to have the same comprehensive coverage as Amazon Web Services and Microsoft Azure.
Here is a snapshot of the latest technology and innovative use cases for working with data streams from Current 2022. And best of all, get practical information for getting started with or scaling data-streaming applications.
Organizations looking to move more of their business onto the cloud must come up with a comprehensive strategy for transitioning from on-premises solutions to a hybrid cloud model.
Sean Zinsmeister, SVP of Product Marketing at ThoughtSpot, discusses how data exploration has enabled more data-driven business initiatives.
CTO of Yellowbrick Data, Mark Cusack, addresses the future of data warehousing, the cloud, and why companies are differently about data.
Learn what you need to know to navigate the Google Cloud Platform, what features it offers, and how to utilize the Google Cloud marketplace.
Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the value from their data lake investments.