Remove Data Processing Remove Metadata Remove Publishing Remove Testing
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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. Solution overview Each day, the UK Met Office produces up to 300 TB of weather and climate data, a portion of which is published to ASDI. These datasets are distributed across the world and hosted for public use.

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Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

An event-driven architecture is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker. Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads.

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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

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. Also known as data validation, integrity refers to the structural testing of data to ensure that the data complies with procedures. Your Chance: Want to test a professional analytics software?

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Governing data in relational databases using Amazon DataZone

AWS Big Data

This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines. Second, the data producer needs to consolidate the data asset’s metadata in the business catalog and enrich it with business metadata.

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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. To foster an open ecosystem, we created a framework to empower partners to easily build and publish AI connectors.

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

AWS Big Data

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). You can test this solution yourself using the AWS Samples GitHub repository. Choose Run.

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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes.