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Business Analytics for mobile and custom applications enables advanced segmentation and BizDevOps collaboration

Dynatrace

If you can’t see business outcomes and monitoring data in the same distributed trace, you’d have to capture all transaction path details from the user’s click to every single database call, which makes it practically impossible to identify the actual root cause of a decrease in conversions. Enable the storage types, select Add property.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

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Using Parallel Query with Amazon Aurora for MySQL

Percona

now has a version which will support parallelism for SELECT queries (utilizing the read capacity of storage nodes underneath the Aurora cluster). I will compare AWS Aurora with MySQL (Percona Server) 5.6 84.1 | | version_comment | Percona Server (GPL), Release 84.1, MySQL on ec2.

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