Power BI REST API custom functions
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Updated
Sep 5, 2024
Power BI REST API custom functions
Power BI REST API Connector - Admin Version
Pure Power Query M readers for binary file formats. SQLite, Access, dBASE/FoxPro, .xls/.xlsb, SPSS, Stata, MATLAB, Avro, EVTX, GeoPackage, MBTiles — read them in Power BI, Excel and the Service with no ODBC driver, no ACE, and nothing to install.
A library of Power Query functions & reference data
My public library of reusable functions, scripts, code snippets, and utilities I have written in PowerQueryM language
A framework for converting high-volume operational documents into structured, searchable, and actionable information through automated extraction, matching, classification, and routing.
Sales analytics system tracking performance, customer concentration, and stockout risk across 200+ healthcare facilities and 4 product lines
A Power Query connector for retrieving data from an OpenAPI (Swagger) specification that uses Bearer authentication
Instantly transform default Power Query steps to improve code readability.
Production-grade sharepoint-based sales pipeline for learning purposes
Proyecto académico desarrollado en Power BI Desktop para la evidencia AA2-EV03 del programa Aplicación de la Inteligencia Artificial en la Integración de Datos del SENA.
Semi-auto algorithmic trading project using power query in excel
Hey, These are some of my first powerbi working files. The classes which I followed so as to get basis in DAX, M or PowerBi designning are from Udemy. See the links on : https://www.udemy.com/certificate/UC-45a28c01-ee83-4f5e-8104-a32b70896251/
Export Power Query M scripts from Excel workbooks into standalone .pq files.
Quickly convert between tabular data and DAX or M dynamic tables.
"Creating a Data Model and Power BI Report For Seven Sages Tea Company" Udacity Project to Obtain NanoDegree
Reusable Power BI templates featuring advanced DAX, Power Query (M), Field Parameters, GeoJSON maps, custom themes, and interactive business dashboards.
⚙️ Biblioteca de funções e lógicas avançadas em Linguagem M. Foco em ETL dinâmico, arquiteturas de dados resilientes ao Schema Drift e otimização de performance no Power BI
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