Advancing Analytics takes a look at the recently released Azure Purview.

One of the major selling points of modern data catalogues is the ability to track data lineage – this is vital for both evaluating how trustworthy data is based on it’s source, but also performing impact analysis when working out what is consuming data downstream.

In this video, Simon takes a first look at the lineage detection inside the Azure Purview preview, associating a Data Factory asset and looking at what gets automatically tracked against some existing assets

For more info on Azure Purview’s Lineage features – see https://docs.microsoft.com/en-us/azure/purview/concept-data-lineage

Azure Defender for IoT is an agentless security solution for Operational Technology (OT) networks incorporating specialized IoT/OT-aware behavioral analytics from Microsoft’s recent acquisition of CyberX.

The new solution enables industrial and critical infrastructure organizations to secure their existing or brownfield devices without any performance impact or changes to existing environments. It’s also deeply integrated with Azure Sentinel and supports 3rd-party tools such as Splunk, IBM QRadar, and ServiceNow.

Learn more about Azure Defender for IoT at https://aka.ms/iotshow/AzureDefenderForIoT

Chris Seferlis introduce us to the newly added Apache Spark Pools in Azure Synapse Analytics for Big Data, Machine Learning, and Data Processing needs.

From the description:

I give an overview of what Spark is, and where it came from; why the Synapse Team added it to the suite of offering, and some sample workloads why you might use it.In this video I introduce the newly added Apache Spark Pools in Azure Synapse Analytics for Big Data, Machine Learning, and Data Processing needs. I give an overview of what Spark is, and where it came from; why the Synapse Team added it to the suite of offering, and some sample workloads why you might use it.

Have you ever wondered how to build a workplace health & safety solution end-to-end?

Teo De Las Heras from the Azure IoT team joins us to demo and explain the architecture of such as solution built on Azure with IoT services.

Not only will you see the solution at work but you will also learn where you can find the entire solution for you to deploy on your own Azure subscription and use as a demo, or even as the starting point for your own solution.

Check it out on GitHub at https://aka.ms/iotshow/workplacesafety

Here’s an exceptional conversation with Yaron, co-founder, and CTO of Iguazio.

Yaron shares the challenges that still exists in developing Machine Learning based product for production, how having variety of data matters, how the platform supports performance at scale and enables real-time use cases and how Iguazio is fully integrated with Azure ML Studio, Microsoft Azure’s Event Hubs, and Azure IoT Hub, making it easy for customers to develop AI models on Azure cloud and deploy them rapidly with real-time performance at scale – on cloud or at the intelligent edge.