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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

The need for streamlined data transformations As organizations increasingly adopt cloud-based data lakes and warehouses, the demand for efficient data transformation tools has grown. This feature reduces the amount of data scanned by Athena, resulting in faster query performance and lower costs.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

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Bridging the gap between mainframe data and hybrid cloud environments

CIO Business Intelligence

In order to make the most of critical mainframe data, organizations must build a link between mainframe data and hybrid cloud infrastructure. Bringing mainframe data to the cloud Mainframe data has a slew of benefits including analytical advantages, which lead to operational efficiencies and greater productivity.

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

Like many corporate enterprises , Hartsfield-Jackson has taken a multi-cloud approach, with Microsoft Azure as its primary cloud but also uses AWS and Google Cloud for specific 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

No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. The 5 Pillars of Data Quality Management.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

By centralizing container and logistics application data through Amazon Redshift and establishing a governance framework with Amazon DataZone, EUROGATE achieved both performance optimization and cost efficiency. This is further integrated into Tableau dashboards. The architecture is depicted in the following figure.

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Ensuring Data Transformation Quality with dbt Core

Wayne Yaddow

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.