Intelligent code conversion: Databricks Spark SQL to BigQuery SQL via Gemini
Automate your Databricks to BigQuery migration. Learn how to use Gemini to translate complex SQL code accurately and save hours of manual work.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Simplicity of One: A World Without Data Complexity
How can you make data complexity a thing of the past? How can your business shift from data chaos to data-driven innovation?
Is Building Your Own Analytics Worth It?
Building your own analytics gives you full control, but it’s costly, slow, and drains focus from your core product. Buying an embedded analytics solution like Yellowfin lets you move faster, monetize sooner, avoid technical debt, deliver a polished user experience, and rely on proven security and compliance (all while keeping your team focused on what makes your product unique).
Visualizing BigQuery geospatial data in Colab
Geospatial data is a powerful tool for gaining insights into everything from customer behavior to environmental patterns. BigQuery allows you to store and analyze this location data using standard SQL, and bringing that data into a Colab notebook gives you the flexibility to combine BigQuery's power with popular Python visualization libraries. This approach is perfect for ad-hoc or iterative analysis. In this video, we'll give you an overview of these capabilities and walk through a demo of how you can analyze and visualize your geospatial data.
Your Data Foundation for Innovation
We build resilient data infrastructures the world’s innovators rely on. Together, we power what’s possible and create real-world impact through data.
From Building at Pinterest and Airbnb to Revolutionizing AI at Kumo.AI
Join us for expert insights on how data is rewriting the rules and driving the future of innovation with Dr. Vanja Josifovski, CEO and Founder of Kumo.AI. In this episode, Dr. Vanja shares his approach to enterprise AI and reveals why a "data-forward organization" is the key to success. He also explains why integration speed is now the new competitive edge, and makes a compelling case for rebuilding outdated systems to achieve a 10x advantage.
Ep 36 | Securing the Evolving Frontier of Digital Trust with Jim Brennan
When trust collapses, everything else goes with it. Jim Brennan, Chief Product and Technical Officer at GetReal Security, joins The AI Forecast to break down one of the biggest challenges in today’s world: securing digital trust. He and host Paul Muller explore why trust is the backbone of modern business and how advancements like deepfakes, impersonation attacks, and AI-powered deception are shaking that foundation.
Hitachi Vantara's Virtual Storage Platform One Now Available in the Microsoft Azure Marketplace
Expanded cloud compatibility and built-in capabilities like compression, provisioning and replication can help enterprises simplify operations and reduce storage costs by up to 40%. Microsoft Azure customers worldwide now gain access to Hitachi Vantara Virtual Storage Platform One to take advantage of the scalability, reliability and agility of Azure to drive application development and shape business strategies.
7 Effective BI Dashboard Components in 2025
Ever feel like your company's data is an untapped resource? We understand the frustration when your data isn't translating into clear, actionable insights for your team. A truly effective business intelligence (BI) dashboard should be a guide, not a barrier. It helps users understand what's happening and what they can do next, transforming a chaotic data landscape into a single, intuitive source of truth. That requires some work.
Seamless Storage Integration: Managing PostgreSQL Environments
PostgreSQL is rapidly being adopted by enterprises large and small. Some estimates show as many as 60% are using it in some form or fashion. For anyone who isn’t on board yet, there are many reasons to consider it. To paraphrase their own site, PostgreSQL, is a powerful, open source object-relational database that uses and extends the SQL language, combined with features that safely store and scale the most complicated data workloads.