DDalya Akram3d ago · 15 min readWhat I learned from analyzing more than 1M online retail transactionsWhen I started looking for a new data analysis project, I didn’t want another small and already-clean dataset where I could immediately tell what charts I was supposed to make. I wanted something closdalya.hashnode.dev
GGeorge Ezejiofor6d ago · 40 min readSelf-Hosted Databricks Alternative: Homelab Data Lakehouse (AI/ML Data Factory)Self-Hosted Databricks Alternative: Homelab Data Lakehouse Part of the homelab build series. Trino, Apache Iceberg, Project Nessie, dbt, Spark, MLflow and OpenMetadata on RKE2, with highly available s312YBNgeorgeezejiofor.com
FFuture Tech Career Hub5d ago · 7 min readData Analytics Is More Than Dashboards: A Practical Guide to Making Better DecisionsA dashboard can show that revenue has declined, customer engagement has changed, or operational costs have increased. But the numbers alone rarely explain what happened or what a business should do nefuturetechcareerhub.hashnode.dev
OOglas AIOct 12 · 8 min readAI Search Optimization for UAE Businesses: Technical SEO, Automation & AI DashboardsPeople discover businesses through search engines, AI-assisted answers, industry articles, and conversational tools. For UAE businesses, the challenge is to communicate expertise clearly and turn releoglas-ai.hashnode.dev
OOglas AIOct 5 · 11 min readYour Business Has Data. But Is It Ready for AI? A Technical Guide to Data Readiness and Business IntelligenceMost businesses do not have a data shortage. They have ERP records, CRM activity, finance data, spreadsheets, HR systems, sales reports, operational databases, customer interactions, documents, and yeoglas-ai.hashnode.dev
KKPI PartnersOct 1 · 7 min readBuilding a Marketing Analytics Layer for Salesforce: From Campaign Data to Decision-Ready MetricsA marketing analytics layer for Salesforce is a governed data model that sits between raw source data and the dashboards people use. It extracts campaign, campaign member, lead, opportunity, and attrikpipartners.hashnode.dev
KKPI PartnersSep 29 · 7 min readBuilding a Project Analytics Layer for Oracle Fusion Cloud Project ManagementA project analytics layer for Oracle Fusion extracts project, cost, commitment, budget, forecast, revenue, billing and resource data in bulk, lands it in a data platform, models it into facts and dimekpipartners.hashnode.dev
KKPI PartnersSep 23 · 10 min readBuilding a Procurement Analytics Layer for Oracle Fusion Cloud: From Transaction Data to Decision-Ready MetricsA procurement analytics layer for Oracle Fusion Cloud sits between the ERP and your BI tools. It extracts procurement transactions, models them at a declared grain into facts and conformed dimensions,kpipartners.hashnode.dev
Vvikas sharmaSep 22 · 4 min readBest Data Lake for Modern Cloud Data ManagementThe amount of data generated by modern businesses continues to expand. Applications, websites, business platforms, connected systems, and digital services can all produce information that may become uvkdigiservices.hashnode.dev
DdsquaredlabsSep 14 · 10 min readPower BI Fabric Pipeline: Built by an AI Agent, Not MeThe last build in this series moved a Power BI dashboard's Excel source into a Fabric Lakehouse by hand: a Dataflow Gen2, a repointed semantic model, a two-step pipeline on a schedule. Every click was11Bblog.dsquaredlabs.io