Pinned Repositories
AnalyticsinaBox
FTA Toolkit - Analytics in a Box
autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
azure-architect
Demos, notes and all know-how stuff that supports daily work of Azure Cloud Solution Architect.
Azure-Data-Factory-Cookbook
Azure Data Factory Cookbook, published by Packt
azure-synapse-analytics-day
azure-synapse-analytics-workshop-300-2-day
Two-day level 300 Azure Synapse Analytics workshop
azure-synapse-analytics-workshop-400
azure.datafactory.tools
Tools for deploying Data Factory (v2) in Microsoft Azure
azure.synapse.tools
PowerShell module to deploy Synapse workspace (and more) in Microsoft Azure.
Build-Your-First-End-to-End-Lakehouse-Solution
Build Your First End-to-End Lakehouse Solution (aka.ms/fabconlake)
kjoebie's Repositories
kjoebie/AnalyticsinaBox
FTA Toolkit - Analytics in a Box
kjoebie/autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
kjoebie/azure-architect
Demos, notes and all know-how stuff that supports daily work of Azure Cloud Solution Architect.
kjoebie/azure.datafactory.tools
Tools for deploying Data Factory (v2) in Microsoft Azure
kjoebie/azure.synapse.tools
PowerShell module to deploy Synapse workspace (and more) in Microsoft Azure.
kjoebie/Build-Your-First-End-to-End-Lakehouse-Solution
Build Your First End-to-End Lakehouse Solution (aka.ms/fabconlake)
kjoebie/community-work
Presentations given to the Data Platform community.
kjoebie/CommunityEvents
Demo code and slides from events
kjoebie/data-factory-testing-framework
A stand-alone test framework that allows to write unit tests for Data Factory pipelines on Microsoft Fabric and Azure Data Factory.
kjoebie/Data-Warehouse-Optimization-with-Azure-Synapse-Analytics
Optimize the performance of a data warehouse solution using Azure Synapse Analytics
kjoebie/EPPC23-ALM
This repo is for the ALM Workshop at European Power Platform Conference 2023 in Dublin.
kjoebie/Fabric-Readiness
A collection of useful materials for presenters interested in topics related to Microsoft Fabric
kjoebie/fabric-samples
Samples and data for Microsoft Fabric Learn content
kjoebie/FabricAdventureWorksLakehouse
This repo shows how to build a Microsoft Fabric Lakehouse Data platform, a unified data management and analytics solution using Azure services. The platform supports data ingestion, storage, processing, analysis, governance, security, and compliance. The repo provides best practices and patterns for the platform.
kjoebie/FabricForPowerBI
kjoebie/JBExamples
kjoebie/knowledge_graph
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
kjoebie/langchain-tutorials
Overview and tutorial of the LangChain Library
kjoebie/linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
kjoebie/MadeiraToolbox
Open-source Repository of Useful Scripts and Solutions for the Microsoft Data Platform
kjoebie/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
kjoebie/modern-data-warehouse-dataops
DataOps for the Modern Data Warehouse on Microsoft Azure. https://aka.ms/mdw-dataops.
kjoebie/MPPC23-Power-Apps
This repo is for the Builde, Deploy and Scale Power Apps workshop at Microsoft Power Platform Conference 2023 in Las Vegas.
kjoebie/next-level
kjoebie/pbiworkshops
Training workshops for Power BI.
kjoebie/Power-BI-Automation
Automate tasks in Power BI based on the Power BI Powershell cmdlets and the Power BI REST API
kjoebie/Slide-decks_dm
Slide decks presented at different community events + demo files if available.
kjoebie/TechExcel-Fabric-with-Databricks-for-Data-Analytics
To gain access, please finish setting up this repository now at:
kjoebie/The-Definitive-Guide-to-Power-Query-M-
The Definitive Guide to Power Query (M), published by Packt
kjoebie/udlbook
Understanding Deep Learning - Simon J.D. Prince