ABAniruddha Banerjeeinruddhani.hashnode.dev·1d ago · 23 min readThe DISTKEY That Was Right, and Still WrongEditor's Introduction Enterprise data platforms rarely fail at the layer where the problem was created. More often, a modeling decision made months or years earlier quietly propagates through ingesti00
MIMyData Insightsinmydatainsights-blogs.hashnode.dev·1d ago · 8 min readData Lakehouse for Logistics: Bringing Freight, Warehouse and Fleet Data Together Freight in one system, warehouse in another, fleet telematics in a third. How a Data Lakehouse brings freight, warehouse and fleet data into one governed platform for real-time analytics and AI. The b00
MIMyData Insightsinmydatainsights-blogs.hashnode.dev·3d ago · 9 min readData Lakehouse vs Data Warehouse: Which Modern Data Platform Is Right for Your Business in 2026? Warehouse, lakehouse, or a hybrid of both? How the two architectures differ, which fits manufacturing, supply chain, logistics, FMCG and EPC, and where Microsoft Fabric and Power BI sit in 2026. The b00
PKPulkit Kushwahainpulkitkushwaha.hashnode.dev·6d ago · 10 min readWhy Data Engineers Have an Unexpected Advantage in the AI EraWhy Data Engineers Have an Unexpected Advantage in the AI Era As AI models become smarter, a surprising shift is taking place. The bottleneck is moving away from the model itself and toward something 30
MIMyData Insightsinmydatainsights-blogs.hashnode.dev·Jul 24 · 11 min readThe Data Warehouse Diagram Everyone Still Draws — And Why It’s Already Late For fifteen years the staging-to-warehouse-to-marts diagram was the right answer. The diagram hasn’t changed. The constraints that justified it have — and that gap is why the dashboards are accurate a00
SGSergio González Téllezinevankhandev.hashnode.dev·Jul 20 · 3 min readWhy do AI systems with increasingly sophisticated models continue to produce mediocre or inconsistent results?SEED-011 PROBLEM Why do AI systems with increasingly sophisticated models continue to produce mediocre or inconsistent results? INSIGHT A well-modeled, validated, and governed data lake often contri00
MIMyData Insightsinmydatainsights-blogs.hashnode.dev·Jul 20 · 17 min readThe Agentic Supply Chain Control Tower: Architecture That Ships Most agentic supply chain demos either do nothing real or quietly commit spend no one approved. Here is the architecture that avoids both — a multi-agent control tower on Copilot Studio and Microsoft 00
MIMyData Insightsinmydatainsights-blogs.hashnode.dev·Jul 16 · 10 min readLogistics Cost Analytics Dashboard: What to Measure Most logistics cost reporting is month-end finance data repackaged as a dashboard. The numbers arrive too late to act on and lack the carrier, lane, and customer granularity that makes the cost driver00
MIMyData Insightsinmydatainsights-blogs.hashnode.dev·Jul 15 · 9 min readDelta Lake on Microsoft Fabric: Migration Gotchas & Fixes Migrating Delta Lake workloads to Microsoft Fabric is not a lift-and-shift. The OneLake storage model, the way Fabric handles Delta table registration, and the quirks around external shortcuts mean th00
SSapotaCorpinsapotacorpvn.hashnode.dev·Jul 12 · 7 min readMarketing Cloud Is Not an Email Tool, It Is an Identity Resolution MachineOpen a real production Marketing Cloud org for a multi-market retailer and count the objects. You will find hundreds of data extensions, close to two hundred SQL queries, a few dozen automations, and 00