Remove Dashboards Remove Data Governance Remove Data Integration
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Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

Data lineage is now one of three core components of the company’s data observability platform, alongside automated monitoring and anomaly detection. Having trust in data is crucial to business decision-making. The ability to monitor and measure improvements in data quality relies on instrumentation.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Data landscape in EUROGATE and current challenges faced in data governance The EUROGATE Group is a conglomerate of container terminals and service providers, providing container handling, intermodal transports, maintenance and repair, and seaworthy packaging services. Eliminate centralized bottlenecks and complex data pipelines.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area. In an age of data-hungry algorithms, everything really begins with collecting and aggregating data. and managed services in the cloud. Marquez (WeWork) and Databook (Uber).

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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Process Analytics. Meta-Orchestration .

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

CIO Business Intelligence

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. Data integrity presented a major challenge for the team, as there were many instances of duplicate data.

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Data integrity vs. data quality: Is there a difference?

IBM Big Data Hub

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

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