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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 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. As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics.

Metrics 90
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Amazon CloudWatch metrics for Amazon OpenSearch Service storage and shard skew health

AWS Big Data

Amazon OpenSearch Service is a managed service that makes it easy to deploy, operate, and scale OpenSearch clusters in AWS to perform interactive log analytics, real-time application monitoring, website search, and more. This allows write access to CloudWatch metrics and access to the CloudWatch log group and OpenSearch APIs.

Metrics 92
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Take Complete Charge Of Customer Satisfaction Metrics – Customer Effort Score, NPS & Customer Satisfaction Score

datapine

Forrester Research defines the ‘customer experience’ as: “How customers perceive their interactions with your company.”. Read here how these metrics can drive your customers’ satisfaction up! Customer satisfaction metrics evaluate how the products or services supplied by a company meet or surpass a customer’s expectations.

Metrics 134
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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. It provides insights and metrics related to the performance and effectiveness of data quality processes. We can analyze the data quality score and metrics using Athena SQL queries.

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Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. Based on collected metrics, we will provide recommendations on how to improve the efficiency of Iceberg tables. Key features This solution uses an AWS Lambda deployment package to collect metrics from Apache Iceberg tables.

Metadata 111