Remove Data Processing Remove Metadata Remove Optimization Remove Visualization
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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog.

Metrics 107
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How Cargotec uses metadata replication to enable cross-account data sharing

AWS Big Data

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The target accounts read data from the source account S3 buckets.

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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see

IBM Big Data Hub

Monitoring and optimizing application performance is important for software developers and enterprises at large. Yet, this data isn’t worth much without the right tools for monitoring, optimizing, storing and—crucially—putting the data into context. Logs help monitor the overall health of an application ecosystem.

Metrics 78
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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting. Business intelligence tools have the ability to visualize and automate queries to save time while reducing errors. This high-end data visualization makes data exploration more accessible to end-users.

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. In the second account, Amazon MWAA is hosted in one VPC and Redshift Serverless in a different VPC, which are connected through VPC peering. secretsmanager ). redshift-serverless.amazonaws.com:5439?

Metadata 106
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

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

AWS Big Data

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data. Organizations often need to manage a high volume of data that is growing at an extraordinary rate.

Data Lake 115