Remove tag data-management
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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Tags allows you to assign metadata to your AWS resources. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources.

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Getting Started with Google Tag Manager

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The post Getting Started with Google Tag Manager appeared first on Analytics Vidhya. Introduction Have you ever wondered how websites track user interactions? Must be pretty hard, isn’t it? Well, yes and no. Simple tracking ? In […].

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Introducing enhanced functionality for worker configuration management in Amazon MSK Connect

AWS Big Data

Amazon MSK Connect is a fully managed service for Apache Kafka Connect. With a few clicks, MSK Connect allows you to deploy connectors that move data between Apache Kafka and external systems. Together, these new capabilities make it straightforward to manage your MSK Connect resources and automate deployments through CI/CD pipelines.

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Multicloud data lake analytics with Amazon Athena

AWS Big Data

Many organizations operate data lakes spanning multiple cloud data stores. In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. To achieve this, Oktank envisions a unified data query layer using Athena.

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DIY cloud cost management: The strategic case for building your own tools

CIO Business Intelligence

Cloud cost management remains a critical CIO priority. For CIOs who may need to customize their cloud cost information streams or manage a complex cloud estate, do-it-yourself cloud cost management may be the way to go. And that’s all before considering the need to fuel new AI initiatives , which can push cloud costs up further.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data. Query the data using Athena.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. Can you find them all?

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