Tiny Machine Learning (TinyML) is the latest embedded software technology that moves hardware into that almost magical realm, where machines can automatically learn and grow through use, like a primitive human brain.

Until now building machine learning (ML) algorithms for hardware meant complex mathematical modes based on sample data, known as “training data,” in order to make predictions or decisions without being explicitly programmed to do so. And if this sounds complex and expensive to build, it is. On top of that, traditionally ML-related tasks were translated to the cloud, creating latency, consuming scarce power and putting machines at the mercy of connection speeds. Combined, these constraints made computing at the edge slower, more expensive and less predictable.

ASP.NET Core is an open-source, cross-platform framework for building modern, cloud-enabled, Internet-connected apps. In this series of videos we’ll be cover many of the interesting features of the framework.

There’s been ton of interest about Blazor in the community. In the video below, Dan Roth joins Jeremy to talk about how you can do Blazor on the server and in the web browser.

Content index:

  • [01:10] – What is Blazor?
  • [03:36] – What’s the different between Blazor server and Blazor WebAssembly
  • [07:44] – Blazor Server demo
  • [11:06] – Blazor WebAssembly demo
  • [14:49] – Debugging Blazor inside the browser
  • [19:01] – Progress Web App (PWA) support

In this video, Emily Lisa and Anna Hoffman discuss how to make a database zone redundant in Azure SQL, and the High Availability benefits of the zone redundant configuration.

Content index:

  • [00:47] What is an availability zone?
  • [01:25] How does it relate to Azure SQL?
  • [02:14] Regions that support Availability Zones
  • [03:10] Demo to Enable Zone Redundant Configuration
  • [04:10] How it affects SLAs

Databricks recently streamed this tech chat on SCD, or Slowly Changing Dimensions.

We will discuss a popular online analytics processing (OLAP) fundamental – slowly changing dimensions (SCD) – specifically Type-2.

As we have discussed in various other Delta Lake tech talks, the reliability brought to data lakes by Delta Lake has brought a resurgence of many of the data warehousing fundamentals such as Change Data Capture in data lakes.

Type 2 SCD within data warehousing allows you to keep track of both the history and current data over time. We will discuss how to apply these concepts to your data lake within the context of the market segmentation of a climbing eCommerce site.