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Modernize your data observability with Amazon OpenSearch Service zero-ETL integration with Amazon S3

AWS Big Data

By querying across OpenSearch Service and S3 datasets, you can evaluate multiple data sources to perform forensic analysis of operational and security events. It also integrates with other OpenSearch integrations so you can install prepackaged queries and visualizations to analyze your data, making it straightforward to quickly get started.

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Automated Metadata Management Tools: Why Some Companies Struggle and Others Flourish During Corona

Octopai

Right smack in the middle of Q1, the entire world was hit with a compelling event whose impact we are only just beginning to wrap our heads around. Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Stranger Things: The New Reality of Corona. Watch the Webinar.

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Automate AWS Clean Rooms querying and dashboard publishing using AWS Step Functions and Amazon QuickSight – Part 2

AWS Big Data

Instead, they rely on up-to-date dashboards that help them visualize data insights to make informed decisions quickly. The architecture consists of the following components, as numbered in the preceding figure: A scheduled event rule on EventBridge triggers a Step Functions workflow.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. In the event of a query, Snowflake uses the snapshot location from AWS Glue Data Catalog to read Iceberg table data in Amazon S3.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. The streaming records are read in the order they are produced, allowing for real-time analytics, building event-driven applications or streaming ETL (extract, transform, and load).

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Showcasing the Searchable Graph of Enriched Debunks, DBKF, at the EBU’s Data Technology Seminar

Ontotext

The seminar was organized by the European Broadcasting Union (EBU) and the respective community that is dedicated to foster knowledge sharing and learning on data-related projects, such as metadata and AI. During her presentation, Ontotext demonstrated their dedication to fighting disinformation in the digital age.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Using EventBridge integration, filtered positional updates are published to an EventBridge event bus. Amazon Location device position events arrive on the EventBridge default bus with source: ["aws.geo"] and detail-type: ["Location Device Position Event"]. In this model, the Lambda function is invoked for each incoming event.