How Can Databricks Lakehouse Reduce Data Complexity and Costs?
Databricks AI/BI Genie improves self service analytics by allowing business users to interact with enterprise data using natural language.
What Should Enterprises Look for in a Databricks Consulting Partner in Norway?
Databricks AI/BI Genie improves self service analytics by allowing business users to interact with enterprise data using natural language.
Flutter + AI: The Future of Intelligent Mobile Apps in 2026
Mobile applications are evolving faster than ever before. A few years ago, apps were built around fixed screens, predefined workflows, and static user experiences. Today, users expect apps to think, respond, generate, and adapt in real time. This is where Artificial Intelligence completely changes the game. And at the center of this transformation is Flutter. The combination […]
Claude AI for UI/UX: Your New Design Partner
Claude AI has evolved from chatbot to genuine design collaborator. With direct Figma integration, interactive visual generation, and autonomous workflow agents, it’s changing how designers work. Here’s what you need to know. The Old Way vs. The Claude Way Remember the old design workflow? Research docs in one tab. Wireframes in another. Copy-pasting between tools. […]
Databricks Lakebase Bridging Transactions and Analytics in One Platform
What if your OLTP database lived inside your Lakehouse? In today’s data-driven world, organizations commonly rely on multiple systems to handle fundamentally different types of workloads. Transactional systems (OLTP) manage real-time application data, while analytical systems (OLAP) serve reporting, dashboards, and machine learning pipelines. This separation, though historically necessary, introduces significant complexity, data duplication, and […]
Lakehouse vs Warehouse in Microsoft Fabric —When to Use What?
Modern data platforms are evolving fast, and Microsoft Fabric introduces two powerful storage/analytics experiences: Lakehouse and Warehouse.Both sit on top of One Lake, but they serve different personas and use cases. Let’s break it down in a practical, real-world way A Lakehouse combines the flexibility of a data lake with the structure of a warehouse. […]
Power BI Just Got Smarter: Introducing DAX User Defined Functions
When working with Power BI, it is common to repeat the same business logic across multiple calculations and reports. As semantic models grow, this repetition makes solutions harder to manage and increases the possibility of inconsistent results. To address this challenge, Microsoft introduced DAX User‑Defined Functions (UDFs) as a preview feature. This capability allows developers […]
Handling Duplicate Data and Change Detection in Databricks Using Hash Keys (MD5 vs SHA-256)
Let’s Talk About the Problem Nobody Wants to Debug If you’ve spent any real time building data pipelines on Databricks, you’ve probably seen this at some point: It’s late. A dashboard is showing incorrect numbers. After digging for hours, you trace the issue back to… Duplicate records CDC jobs are silently missing updates Or, in […]
Building a Full Stack App with Angular and NestJS
Building a full-stack application can feel overwhelming at first — especially when handling frontend, backend, and database together. Angular and NestJS provide a powerful combination that makes development structured, scalable, and easier to maintain. In this guide, we will build a simple full-stack application step by step using Angular for the frontend and NestJS for […]
Learn Azure AI Engineer Associate Skills – Real-world Projects
Suva Lakshmi (DB0114) Full Stack Developer Artificial Intelligence is no longer a “future” concept — it’s already powering the apps we use every day. From: Chatbots answering customer queries Face recognition unlocking phones AI analysing business data If you’re preparing for the Azure AI Engineer Associate certification, just learning theory is not enough. The real […]