Remove Cost-Benefit Remove Data Integration Remove Data Transformation
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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

As part of its plan, the IT team conducted a wide-ranging data assessment to determine who has access to what data, and each data source’s encryption needs. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

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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.

IoT 100
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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

In healthcare, missing treatment data or inconsistent coding undermines clinical AI models and affects patient safety. In retail, poor product master data skews demand forecasts and disrupts fulfillment. In the public sector, fragmented citizen data impairs service delivery, delays benefits and leads to audit failures.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data virtualization is becoming more popular due to its huge benefits.

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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.

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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. Azure Blob Storage serves as the data lake to store raw data.