BigtableDataSettingssettings=BigtableDataSettings.newBuilder() .setProjectId("my-project") .setInstanceId("my-instance") .setMetricsProvider(NoopMetricsProvider.INSTANCE) .build(); Use a custom OpenTelemetry instance If your application already has OpenTelemetry integration, you can register client side...
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Monitor the operational health of end-to-end data pipelines by having all your workloads emit health metrics toOracle Cloud Infrastructure Monitoring. Define custom metric thresholds for alarms, and get notified or take action whenever a given threshold is reached. Use OCI Logging for all the OCI ...
That made JavaScript-based Pinned Sites features easy to add and test into the existing system with almost no custom code.The hard part was determining what content to serve and when to serve it. They decided to showcase their Big News sections because it’s what sets them apart from ...
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Apache Hadoop is a framework that allows distributed processing of large data sets with custom applications for both big data and analytics and is one of the fastest-growing technologies providing a competitive advantage for businesses across industries. Previously, the ...
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ML models are trained on SageMaker managed compute instances, including highly cost-effective EC2 Spot Instances. You can organize multiple training jobs usingSageMaker Experiments. You can build training jobs using SageMaker built-in algorithms, your custom algorithms, or hundreds of algorithms you can...
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We can use custom applications to obtain automatic or semi-automatic data, whether in batch or real-time processing (see Figure 5). Some ad hoc developments may be required, mainly to obtain specific terms about tourism subjects that will be part of the corpus and the lexicon of the ...