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Uncover The Power Of White Label Dashboards & Reports With Key Features And Examples 

datapine

2) Benefits Of White Label Reports 3) Key White Label Reporting Features 4) White Label Dashboards & Report Examples In today’s competitive business environment, building a brand that is trusted, recognizable, and loved by many is not an easy task. Your Chance: Want to build your own white label reports & dashboards?

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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Enter data dashboards – one of history’s best innovations in business intelligence. To help you understand this notion in full, we’re going to explore a data dashboard definition, explain the power of dashboard data, and explore a selection of data dashboard examples. What Is A Data Dashboard? click to enlarge**.

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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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Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available

AWS Big Data

For other ingestion methods, see documentation. OpenSearch hosts – Provide the OpenSearch Service domain endpoint for the host and provide the preferred index name to store the data. sts_role_arn – Provide the ARN for the IAM role that has permissions for the Amazon Document DB cluster, S3 bucket, and OpenSearch Service domain.

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Monitor Apache Spark applications on Amazon EMR with Amazon Cloudwatch

AWS Big Data

In this post, we demonstrate how to publish detailed Spark metrics from Amazon EMR to Amazon CloudWatch. By default, Amazon EMR sends basic metrics to CloudWatch to track the activity and health of a cluster. Solution overview This solution includes Spark configuration to send metrics to a custom sink.

Metrics 96
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Use Amazon OpenSearch Ingestion to migrate to Amazon OpenSearch Serverless

AWS Big Data

OSI is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to OpenSearch Service domains and OpenSearch Serverless collections. Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post.

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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

ISM policies let you automate these periodic, administrative operations by triggering them based on changes in the index age, index size, or number of documents. For a list of supported metrics, refer to Monitoring pipeline metrics. ISM policies within OpenSearch Service handle index rollovers or deletions.

Data Lake 116