DataPlatformGeeks successfully executed FIVE webinars and ONE In-person event in the month of January, 2020.

  • Webinar on OData and .NET Core – State of the Union by Rainer Stropek (MVP for Azure and Developer Technologies, Austria)
  • Webinar on Basic Introduction to Machine Learning by Sakshi Chourasia (Software Engineer, Microsoft)
  • Webinar on Getting Started with Machine Learning .Net by Bruno Capuano (AI MVP, Canada)
  • Webinar on Dataflows in Power BI by Bent Nissen Pedersen (Data Platform MVP, Denmark)
  • Webinar on Digging data from hard-to-reach websites with Power BI by Tim Heng (MVP, Power BI Expert, Australia)
  • OData and .NET Core – State of the Union

    Abstract: OData is a well-established standard that has been used in many software systems for years. Azure makes heavy use of OData and the protocol is supported in client apps like Power BI, too. In this session, MVP and Regional Director Rainer Stropek speaks about the current state of OData. He starts with a quick introduction for those viewers who are not familiar with OData. Next, he shows how OData’s integration with .NET’s LINQ, ASP.NET Core and Entity Framework makes it pretty simple to get you own OData services up and running. Rainer will also critically evaluate OData by talking about areas where Microsoft’s implementation has to improve as well as pros and cons compared to classical REST APIs, gRPC, GraphQL, and JSON:API. If you build data-driven APIs for the web and the cloud, this session is for you. Rainer will use only a few slides. He will focus on code walkthrough and live coding.

    Basic Introduction to Machine Learning

    Getting Started with Machine Learning .Net

    Abstract: If you are a developer and you started to feel outside of the Machine Learning world, this session is for you. In this session, we will review the basics of machine learning, how to use existing models and services in standard developer apps, and how to get started with creating your own simple models.
    Important: we don’t need any specific math or data skills to create ML models. We will cover the basis of Machine Learning.Net, a complete ML framework to work with C#, F# or any other .Net Core language.
    And I’m a developer first, so do not expect much slides. Instead, we will code a fully functional app from scratch.

    Dataflows in Power BI

    Abstract: Get and overview of Dataflows and how it integrates data lake and ETL technology directly into Power BI to enable anyone with Power Query skills.
    Before diving into details we will go through the architecture and demonstrate the bigger picture for Dataflows in Power BI.
    We will go through how you can create, customize and manage data within the Power BI experience in a simpler way. Part of this will also be to go through Common Data Models which contains the business entities across your organisation.
    This will help your organisation simplifying modeling and is intended to prevent multiple definition for the same data.

    Digging data from hard-to-reach websites with Power BI

    Abstract: Tools such as Power Query and Power BI generally require websites to provide information in a defined Table format, which relies on website developers to a) take the time to present their data in that format, and b) be willing to provide their data in a way that is easy to scrape. As tools have become better at automatically collecting data, many websites have started restructuring in order to limit a user’s ability to download information. We will apply some of the newer tools within Power BI to analyse non-tabular datasets, showing you how easy it is to apply cutting-edge analytical tools to “difficult” websites.

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