Calendar (dates), Periods and Time table for Power BI and Fabric
AI-powered Power BI External Tool that provides an intelligent chat interface for analyzing semantic models. Connect to Power BI Desktop via XMLA, view metadata and sample data, execute DAX queries, and get AI-powered insights about your data model.
BPA scanning for Fabric semantic models without Premium capacity or XMLA endpoints. Vibe-coded with Claude Code.
Tabela calendário para lakehouse Fabric a partir do notebook spark
Convert your SSAS Models into Power BI Projects with Python
The Drill Down with Ahmad & James
Open-source Supply Chain analytics on Microsoft Fabric: a scalable Bronze-Silver-Gold pipeline with automated CSV ingestion, Delta Lake transforms, semantic modeling (DAX & RLS) and interactive Power BI reports. Join to enhance pipelines, refine models, and build next-gen supply-chain insights!
Medallion-architecture fleet analytics on Microsoft Fabric: ingestion from SSMS staging, cleansing & enrichment via Dataflow Gen2, storage as Delta tables in Lakehouse, curation through Fabric Warehouse & semantic model, and interactive Power BI dashboards.
Power BI to Snowflake SQL translator with enhanced M and DAX support
Transformed raw HR data into a star schema using GCP & Cloud SQL, wrote SQL queries for business reporting and analyzed trends like age vs. income, performance, and hiring by gender. Visualized insights in Tableau for data-driven HR decisions. Tools: Google Cloud SQL(Postgres), GCP, Tableau.
End-to-end Medallion Architecture on Microsoft Fabric for tracking the U.S. government’s 2020 critical minerals: automated pipeline ingests raw CSVs into Lakehouse, PySpark builds a star schema, a lake-based semantic model with DAX & RLS delivers curated data, and Power BI dashboards visualize insights. Contributions welcome!
In this project we will orchestrate the movement of raw nyc taxi data from staging layer to presentation layer and to semantic model for creating visualizations.
Built and hosted a Conversational AI Chatbot on Streamlit, powered by Large Language Models (LLMs). Implemented Cortex LLM & Cortex Analyst for real-time natural language processing (NLP) and optimized vector embeddings for enhanced contextual understanding.
A dbt package that creates Snowflake semantic views directly from dbt semantic model configurations.
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