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Getting started with Kafka client metrics

IBM Big Data Hub

Apache Kafka stands as a widely recognized open source event store and stream processing platform. One key advantage of opting for managed Kafka services is the delegation of responsibility for broker and operational metrics, allowing users to focus solely on metrics specific to applications.

Metrics 93
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A Beginner’s Guide To Inventory Metrics And Best Practices

datapine

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286
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Real-time artificial intelligence and event processing  

IBM Big Data Hub

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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The startup CIO’s guide to formalizing IT for liquidity events

CIO Business Intelligence

It just crossed $100M in revenue and is approaching a major liquidity event, such as an IPO. But as you speak with an expanding cadre of lawyers, accountants, and bankers, you start to appreciate what such an event means for your department. And second, you have a clear metric of improvement: the number of days taken to close.”

IT 105
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Amazon CloudWatch metrics for Amazon OpenSearch Service storage and shard skew health

AWS Big Data

In this post, we explore how to deploy Amazon CloudWatch metrics using an AWS CloudFormation template to monitor an OpenSearch Service domain’s storage and shard skew. This allows write access to CloudWatch metrics and access to the CloudWatch log group and OpenSearch APIs. An OpenSearch Service domain. Choose Next.

Metrics 90
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Highly optimized time series queries. Intuitive metrics, simple design. Min/Max values.

Metrics 82