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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52
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Announcing the ScaleOut Digital Twin Streaming Serviceā„¢

ScaleOut Software

This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed.

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Announcing the ScaleOut Digital Twin Streaming Serviceā„¢

ScaleOut Software

This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed.

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Use Parallel Analysis ā€“ Not Parallel Query ā€“ for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether itā€™s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. Thatā€™s where performance problems can begin.

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Use Parallel Analysis ā€“ Not Parallel Query ā€“ for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether itā€™s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. Thatā€™s where performance problems can begin.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167
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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Developers really have flocked to using this serverless programming technology to build event driven services. Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT). Amazon Lambda.

Lambda 122