What is an Open Lakehouse Architecture? (Technical Deep dive)
In this video, Dipankar breaks down the lakehouse architecture layer by layer - from object storage to table formats, catalogs, and compute engines. He covers.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Beyond Zero-Ops: Architectural Precision for MongoDB Atlas Connectors
Whether you’re streaming change data capture (CDC) events from MongoDB to Apache Kafka or sinking high-velocity data from Kafka into MongoDB for analytics, the following best practices ensure a secure, performant, and resilient architecture. This technical deep dive covers implementing the MongoDB Atlas Source and Sink Connectors on Confluent Cloud.
On the Frontlines of a Simulated DoD Environment
Qlik’s lessons learned from developing systems in a locked-down military-grade data zone at the 2025 NDIA Hackathon In early September, developers from across the country arrive at George Mason University’s Fuse facility with laptops, notebooks, and one big unknown: how do you build a defense-grade analytics solution in just 72 hours in a simulated air-gap environment.
Simplify your AI workflow with autonomous embedding generation in BigQuery
BigQuery autonomous embedding generation treats embeddings as a managed part of your table, making it easier to get your data AI-ready.
Building a conversational agent in BigQuery using the Conversational Analytics API
Use the Conversational Analytics API to build context-aware agents that understand natural language, query BigQuery data, and deliver answers in text, tables, and visual charts.
Why Event-Driven Microservices Teams Move Faster
Escaping the monolith didn’t just simplify architecture—it unlocked speed, flexibility, and hiring freedom for Busie.
The impact of Apache Polaris graduating to top-level Apache project
With top-level Apache status, Polaris brings enterprise-grade governance and durability to the Iceberg catalog layer powering modern data platforms.
How to Future-Proof Architectures With Continuous Availability Via Hybrid & Multicloud
When designing on-premises and cloud systems, you have to balance resilience, security, and scalability. But ultimately, what your organization and business leaders care about is the bottom-line: today’s costs and tomorrow’s risk. As a result, hybrid and multicloud strategies are often viewed as simply a backup or disaster recovery strategy, instead of a path to availability your applications and business operations can really count on.
How to Avoid the Hidden Costs of Slow IT Infrastructure Deployments
Organizations invest in IT infrastructure with one expectation: results, delivered fast. But when deployments drag on, the fallout goes far beyond slipping timelines. Slow rollouts can erode ROI, heighten operational risk, and strain already‑stretched IT teams. They also keep organizations from innovating at the speed today’s market demands—and the true cost of those delays often isn’t obvious until performance starts to suffer.
Create a Multi-Location Dashboard in Just 3 Prompts: Claude + Databox MCP
See the Databox Model Context Protocol (MCP) in action inside Claude. In this video, we use just three simple prompts to pull Google Business Profile data across 8 different business locations and instantly generate a beautiful, executive-ready HTML dashboard. Instead of manually logging into multiple accounts and copying data into spreadsheets, we use the Databox MCP inside Claude to: Fetch Data Instantly: Claude automatically gathers impressions, clicks, and calls for every single business location through the MCP, comparing current vs. previous month data without any manual exports.