Systems | Development | Analytics | API | Testing

Build a BigQuery AI agent with ADK & Cloud Run

In this video, Mazlum Tosun walks Martin Omander through building and deploying an AI data agent. Watch along as the team takes a BigQuery database (the company's data goldmine) and open it for plain English questions, using Agent Development Kit (ADK) and Model Context Protocol (MCP). Resource links: Speakers: Martin Omander, Mazlum Tosun Products Mentioned: BigQuery, Agent Development Kit, Cloud Run.

The Threats We See. The Risks We Don't

Living in South Florida, I've spent a lot of my career talking to customers about disaster recovery through the lens of hurricanes. Those conversations are easy because everyone understands the threat. We can watch a storm develop for days. Weather stations track every shift in direction. Data centers activate contingency plans. Business continuity teams prepare for impact.

The Art of Building Reliable Data Stack with Sergio Ramos

In this episode of Data Builders Club, Sergio shares how teaching himself Excel sparked a career in analytics, why business context matters more than building flashy dashboards, and what it really takes to build reliable data systems that stakeholders trust. We also dive into data governance, stakeholder communication, AI in modern data teams, and why first-principles thinking will matter even more in the age of AI.

How to Alert or Open a Ticket When an Expected Client File Doesn't Arrive

You alert or open a ticket when an expected client file doesn't arrive by building a file-arrival check that runs on a schedule, compares what was expected against what actually landed, and fires a notification or ticket the moment a gap appears. This guide is for data analysts and data engineers who manage recurring file-based ingestion from multiple clients or vendors.

How to Migrate CRM Data from Microsoft Dynamics or DealCloud into Salesforce Automatically

You migrate CRM data from Microsoft Dynamics or DealCloud into Salesforce automatically by connecting both systems to a pipeline that extracts records on a schedule, maps fields to Salesforce's object model, transforms the data to match Salesforce's validation rules, and loads it through the Bulk API instead of manual exports. This guide is for data analysts and solution engineers handling client or company-wide CRM migrations into Salesforce.

Top 10 Best ETL Tools with AI-Powered Transformation for Standardizing Phone Numbers, Addresses, and State Formats

The best ETL tool with AI-powered transformation for standardizing phone numbers, addresses, and state formats is Integrate.io, because it lets teams apply natural-language rules directly to messy fields instead of writing conditional logic for every format variation a client or vendor might send.

The 2026 Finance Stack: Which Layer Are You Actually Missing?

Most comparison guides in this space organise tools by feature count or analyst quadrant position. Neither is especially useful if you are a CFO trying to solve a specific problem under time pressure. The more useful diagnostic is category. Finance intelligence tools in 2026 fall into three distinct layers, and buying the wrong layer is the most expensive mistake you can make. Consolidation and close platforms are built to produce auditable, multi-entity financial statements.

Why Token-Maxxing Is the Wrong Way to Measure AI Success

Silicon Valley has been measuring AI success by token consumption. The more tokens, the more AI transformation. Right? Wrong. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson on the podcast to share that the best context is the context that drives the outcomes you need with the least amount of tokens and processing. Efficiency, not volume, is where the real value is.