In this video, Murali Krishnaprasad discusses Interactive Query (also called Hive LLAP, or Low Latency Analytical Processing, or Live Long and Process), which is an Azure HDInsight cluster type. Interactive Query supports in-memory caching, which makes Hive queries super-fast and interactive. See how to use HDInsight Interactive Query to analyze extremely large datasets (~100TB) in common file formats such as ORC and CSV using common BI/SQL tools including Zeppelin notebooks and VS Code.

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Online chat, real-time dashboards, social media sites and even games are just a few examples of where real-time technology can make a huge impact on user experience. ASP.NET Core SignalR is an open-source library that simplifies adding real-time functionality to your applications.

In this episode, Anthony Chu comes on to talk about how we can get started with ASP.NET Core SignalR. He also shows us how the Azure SignalR Service allows us to easily scale our real-time connections.

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Machine learning models, especially deep learning ones, can be complex.

In this video from 2018, Chi Zeng walks us through how to debug, monitor, and examine the decisions of a TensorFlow-based model using the TensorBoard suite of visualizations.

Chi Zeng works on the TensorBoard suite of visualizations within Google Brain.