Starting Enterprise Data Models with XMLA Endpoints in Power BI скачать в хорошем качестве

Starting Enterprise Data Models with XMLA Endpoints in Power BI

In this session we are going to cover how to start using XMLA write endpoint feature in Power BI for enterprise deployments, and combine techniques with Tabular Editor, SQL Profiler, SSMS, and SQL Server Data Tools to deploy tabular models. Story cases and Pros to use this feature. Speaker: Gaston Cruz Microsoft Most Valuable Professional (MVP) in Data Platform. Architected scalable analytics platforms using Snowflake, SQL DW, Azure Analysis Services, SSAS, SSRS, Azure Data Factory, SSIS, Matilion to automate ETL workflow. Produced reports and dashboards using Power BI Desktop, Service and Power BI Report Services Defined governance layer at enterprise level covering Power BI version control, roles and activities, lifecycle management for reporting, RLS management, Azure DevOps integration for data & analytics solutions, and Power BI Premium implementations Optimized and performance tuned complex Power BI data models using aggregate tables to reduce the model size and increase the performance of the reports. Composite models combining Power BI, AAS, Power BI Premium Designed and developed Power BI applications integrating other technologies including PowerApps, Flow, SharePoint, Microsoft Teams, Azure SQL Database and Smartsheet to deliver actionable solutions Facilitated requirement sessions with business users, provided analytics strategy, and created BI roadmaps Managed the migration of the entire on-premise IT infrastructure to Azure platform and O365 Delivered end-to-end BI solutions to Enterprise companies in US and LATAM Industry expertise – Retail, Financial, Minery, Forestal, Pharmaceutical, and Manufacturing Thought leadership – Speaker at international conferences including MSFT Business Application Summit, SQL Saturdays, Power Platform World Tour, and .NET conference tour. - - Served as Managing Director for Spain Data Analytics Publication Want to learn more on this topic? Visit MS Learn for additional training: https://aka.ms/PowerBITraining-11 https://aka.ms/DataAnalyst-11 [eventID:11910]