Over the past several years, data leaders asked many questions about where they should keep their data and what architecture they should implement to serve an incredible breadth of analytic use cases. Vendors with proprietary formats and query engines made their pitches, and over the years the market listened, and data leaders made their decisions.

BigQuery recently gained support for the latest Gemini models, as well as safety enhancements and grounding support.

Yellowfin is an embedded analytics solution with several features that can help improve the data preparation, reporting and analysis process for your end-users, and many configurations and customizations for your developers to achieve a seamless integration. With so many development scenarios, use cases and end-user requests unique to your business, however, we understand it can initially be a bit daunting to start your project.

Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. With the use of AI exploding, Cloudera, in partnership with Researchscape, surveyed 600 IT leaders who work at companies with over 1,000 employees in the U.S., EMEA and APAC regions.

Cloudera’s data-in-motion architecture is a comprehensive set of scalable, modular, re-composable capabilities that help organizations deliver smart automation and real-time data products with maximum efficiency while remaining agile to meet changing business needs. In this blog, we will examine the “why” behind streaming data and review some high-level guidelines for how organizations should build their data-in-motion architecture of the future.

With BigQuery and data utilization including AI/ML, Japanese cosmetics brand Shiseido cut processing times 90% and saw 80% cost savings.

Earlier this year, Yellowfin celebrated its 20th anniversary. While we have been around for a while, some things remained constant - our focus on customer and innovation. Yellowfin was borne out of the frustrations felt by our founders, and millions of other information workers, in accessing the data they need to do their jobs effectively, a frustration just as relevant today as it was 20 years ago.

Move your data lakes and warehouses to Google Cloud with a new migration incentive program as well as enhanced BigQuery migration services and tools.

Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been named in the 2024 Gartner Market Guide for Data Observability Tools. According to Gartner, “By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024.

Cloudera recently unveiled the latest version of Cloudera Private Cloud Base with the Zero Downtime Upgrade (ZDU) feature to enhance your user experience. The goal of ZDU is to make upgrades simpler for you and your stakeholders by increasing the availability of Cloudera’s services.