Enterprise Strategy Group compared BigQuery to alternative cloud-based enterprise data warehouse solutions.

Welcome back to Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to create big number and vertical column charts in Yellowfin, and the many different charting options available in Yellowfin Canvas. Before we re-visit our regular series, we want to share a shorter dashboard walkthrough.

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

The editorial team of Hitachi Vantara sat down for an interview with our Chief Product Officer, Octavian Tanase, to learn about his vision and strategy for AI in the enterprise.

You can now access Gemini 1.0 Pro from inside the BigQuery console, gaining scale and efficiency to ground LLMs with your business data.

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft Fabric offers a unified platform for data engineering, science, and analytics, integrating data from Power BI, Azure Synapse, and Azure Data Factory, and using open storage for accessibility and portability.

Tech debt is the cost of choosing quick solutions over better ones, requiring future rework. It is a fact of life for developers–when work piles up and deadlines approach, you prioritize what’s most important. In the short term, taking the easy road keeps your release schedule on track and your applications running smoothly, at least on the surface.

In February, Snowflake released a slew of new features that continue to expand the scope of what you’re able to do with Snowflake, including the public preview of Hybrid Tables. Read on to learn more about everything we announced last month.

It's summer of 1997, and I’m seven years old. I’ve just finished typing up my last homework assignment of the year, and a few loud keyboard taps later, it’s saved to a floppy disk, ready for printing at the school library. I grab my headphones and press play on my Walkman: Fleetwood Mac – Rumors.

Achieving product-led growth (PLG) is a continuous goal for independent software vendors (ISVs) and enterprises aiming to scale efficiently and sustainably. The challenge is differentiating your product enough in a crowded market to retain users, and unlock new revenue streams. Traditional approaches to product-led growth often fall short in meeting the dynamic needs of today's data-driven users, who seek immediate, actionable insights within the applications they use.