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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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Try semantic search with the Amazon OpenSearch Service vector engine

AWS Big Data

Lexical search looks for words in the documents that appear in the queries. For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

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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 90
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Enable cost-efficient operational analytics with Amazon OpenSearch Ingestion

AWS Big Data

These values can be used to determine routing of such messages to OpenSearch Service, and use per-document monitoring capabilities in OpenSearch Service to alert on specific conditions. This limit is observed using the anomaly_detector.RCFInstances.value CloudWatch metric. For our example, we used a data sample with 1.5

Analytics 117
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What are the Benefits of Data Annotation?

Smart Data Collective

These metrics are then used to aid machine learning processes. These include (but are not necessarily limited to): Images Audio files Videos Text PDF documents. A Host of Interesting Applications. It is a great way to use data for quality control purposes. Note that annotation can interpret various file types.

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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. Update the following information for the source: Uncomment hosts and specify the endpoint of the existing OpenSearch Service endpoint.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted. Without a strong delivery model and communication plan, frustrated business stakeholders are likelier to buy and try implementing a technology solution without IT’s involvement.

IT 137