Speaker Profile


Thimantha Vidanagamage

Associate Consultant, Microsoft Business Intelligence - Fortude (Pvt) Ltd.

Number of Speeches : 12

Thimantha Vidanagamage is a Microsoft Certified Data Analyst/Azure Data Scientist Associate with experience in Microsoft Business Intelligence. He is passionate about technologies such as Microsoft Power BI, Azure Analysis Services, Azure Data Factory, Azure Data Lake Gen2 and Azure Machine Learning. Currently, he is an Associate Microsoft Business Intelligence Consultant for Fortude (Pvt) Ltd. which is the only Microsoft Gold Partner for Data Analytics and Data Platform in Sri Lanka. Thimantha blogs at www.thimantha.wordpress.com.


Thimantha Vidanagamage


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All Speeches

Azure Data Factory: No-code Data Preparation in a Modern Data Warehouse

June 23, 2021

Microsoft Data and AI South Florida

Data preparation is a lengthy and complicated process in a modern data warehouse solution. Microsoft recently released Azure Data Factory Power Query, which greatly eases this process with no-code data preparation. In this session, I will take you through how to use Azure Data Factory Power Query to prep data in a modern data warehouse. By the end of the session, you will be able to understand Azu....See More

Power BI: Personalizing Report Visuals in Service

June 11, 2021

Data Minutes

Are you a Power BI user who wants to personalize report visuals in Power BI service? Personalize visuals experience in Power BI allows you to explore and personalize report visuals as per your preference in service. In this lightning talk, I will take you through the personalize visuals experience in Power BI service. By the end of the lightning talk, you will have an understanding about the perso....See More

Power BI: Utilizing Large Scale Semantic Models in Service

May 07, 2021

SQL Friday

Are you an owner of a large scale Power BI Semantic Model that cannot be utilized in Power BI service? Its time to cut down the model size. Various techniques and best practices can be followed to cut down the size of a semantic model. In this session, I will walk you through the key techniques and best practices that you can follow to get this done. By the end of the session, you will be able to ....See More

Azure Data Factory: No-code Data Preparation in a Modern Data Warehouse

April 28, 2021

Azure Data Services Community

Data preparation is a lengthy and complicated process in a modern data warehouse solution. Microsoft recently released Azure Data Factory Power Query, which greatly eases this process with no-code data preparation. In this session, I will take you through how to use Azure Data Factory Power Query to prep data in a modern data warehouse. By the end of the session, you will be able to understand Azu....See More

Azure Data Factory: No-code Data Preparation in a Modern Data Warehouse

February 27, 2021

Scottish Summit 2021

Data preparation is a lengthy and complicated process in a modern data warehouse solution. Microsoft recently released wrangling data flows for Azure Data Factory, which greatly eases this process with no-code data preparation. Compared to other high-end data preparation alternatives, wrangling data flows integrate with Power Query for operations. In this session, I will take you through how to us....See More

Power BI: Building Your First Report

February 27, 2021

Global Power Platform Bootcamp - Techforum, Bangladesh Edition

Are you someone who hasn't built any reports in Power BI yet? Its time to get started. In this session, I will take you through the core basics of building your first report in Power BI. By end of the session, you will know enough to build your first report in Power BI.

Power BI: Utilizing Large Scale Semantic Models in Service

February 20, 2021

Global Power Platform Bootcamp - Tri-State NYC/NJ/PA Edition

Are you an owner of a large scale Power BI Semantic Model that cannot be utilized in Power BI service? Its time to cut down the model size. Various techniques and best practices can be followed to cut down the size of a semantic model. In this session, I will walk you through the key techniques and best practices that you can follow to get this done. By the end of the session, you will be able to ....See More

Power BI: Let's Get Started on an Analytics Platform

January 30, 2021

Experience Sharing on Enterprise Application Development

Are you struggling to invest on a high-end analytics platform, or are you not sure how to get started on one? Let's get started with Microsoft Power BI as a low-cost investment. Two key components in Power BI are used to build an analytics platform: dataflows and datasets. In this session, I will take you through the process of getting started with building an analytics platform using Power BI dat....See More

Azure Analysis Services: Enhancing Security in Semantic Models

December 17, 2020

Sri Lanka Data Community - December 2020

Do you have a requirement to secure your Azure Analysis Services semantic model in consonance with end-user roles? Let's use role-based security to secure your semantic model. Role-based security can be used to cover various business scenarios correspondent to security in Azure Analysis Services. In this session, I will take you through the process of implementing role-based security for some key ....See More

Azure Analysis Services: Shifting to an Effective Semantic Model

October 17, 2020

Data Weekender

Building a semantic model is quite straight forward in Azure Analysis Services. But, is your semantic model actually effective enough for end users to use? Azure Analysis Services consist several features that meet the standards of an effective semantic model. In this session, I will take you through the process of building an effective semantic model with Azure Analysis Services, such that users ....See More

Azure Analysis Services: Shifting to an Effective Semantic Model

August 14, 2020

New Stars of Data

Building a semantic model is quite straight forward in Azure Analysis Services. But, is your semantic model actually effective enough for end users to use? Azure Analysis Services consist several features that meet the standards of an effective semantic model. In this session, I will take you through the process of building an effective semantic model with Azure Analysis Services, such that users ....See More

Building an Effective Semantic Model

February 19, 2020

Sri Lanka Data Community - February 2020

This session is about building an effective semantic model with Microsoft Power BI/Azure Analysis Services based on the best practices.