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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52
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Matching Supply With Demand — Solutions, Part 1

SQL Performance

Despite the poor performance, working on the solution is an interesting exercise. Use the following code to create the table and populate it with a small set of sample data: DROP TABLE IF EXISTS dbo. ( ID INT NOT NULL IDENTITY ( 1 , 1 ) CONSTRAINT pk_Auctions PRIMARY KEY CLUSTERED , Code CHAR ( 1 ) NOT NULL.

Code 116
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 187
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Fallacy #5: Topology doesn't change

Particular Software

Decommissioning Public102 was an exercise in the mundane, gradually transitioning tiny service after tiny service to new homes over the course of weeks, as the development schedule allowed. When finally we had all the processes migrated, we celebrated as we decommissioned Public102. It's not so easy with a junk drawer server.

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Fundamentals of table expressions, Part 3 – Derived tables, optimization considerations

SQL Performance

This month and the next I’m going to cover the physical processing aspects of derived tables. In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. And if so, is there a way to instruct SQL Server to avoid this unnesting process?

C++ 109
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Fundamentals of table expressions, Part 3 ? Derived tables, optimization considerations

SQL Performance

This month and the next I’m going to cover the physical processing aspects of derived tables. In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. And if so, is there a way to instruct SQL Server to avoid this unnesting process?

C++ 93