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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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Enable cost-efficient operational analytics with Amazon OpenSearch Ingestion

AWS Big Data

Although this walkthrough uses VPC flow log data, the same pattern applies for use with AWS CloudTrail , Amazon CloudWatch , any log files as well as any OpenTelemetry events, and custom producers. Create an S3 bucket for storing archived events, and make a note of S3 bucket name. Set up an OpenSearch Service domain.

Analytics 123
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Scale AWS Glue jobs by optimizing IP address consumption and expanding network capacity using a private NAT gateway

AWS Big Data

In this post, we will discuss two strategies to scale AWS Glue jobs: Optimizing the IP address consumption by right-sizing Data Processing Units (DPUs), using the Auto Scaling feature of AWS Glue, and fine-tuning of the jobs. Now let us look at the first solution that explains optimizing the AWS Glue IP address consumption. Click next.

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How to achieve Kubernetes observability: Principles and best practices

IBM Big Data Hub

Observability comprises a range of processes and metrics that help teams gain actionable insights into a system’s internal state by examining system outputs. In this blog, we discuss how Kubernetes observability works, and how organizations can use it to optimize cloud-native IT architectures. How does observability work?

Metrics 72
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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. This will give you the ability to identify bottlenecks while optimizing resource utilization. By default, Amazon EMR sends basic metrics to CloudWatch to track the activity and health of a cluster.

Metrics 96
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Introducing Amazon MWAA support for the Airflow REST API and web server auto scaling

AWS Big Data

Another example is building monitoring dashboards that aggregate the status of your DAGs across multiple Amazon MWAA environments, or invoke workflows in response to events from external systems, such as completed database jobs or new user signups. Args: region (str): AWS region where the MWAA environment is hosted.

Testing 89
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VeloxCon 2024: Innovation in data management

IBM Big Data Hub

Hosted by IBM® in partnership with Meta, VeloxCon showcased the latest innovation in Velox including project roadmap, Prestissimo (Presto-on-Velox), Gluten (Spark-on-Velox), hardware acceleration, and much more. The afternoon sessions were equally insightful, with Jimmy Lu of Meta unveiling the latest optimizations and features in Velox.