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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

Offering this service reduced BMS’s operational maintenance and cost, and offered flexibility to business users to perform ETL jobs with ease. BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). It retrieves the specified files and available metadata to show on the UI.

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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

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. Let’s examine the benefits of high-quality data in marketing. 1 – The people.

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Implement a full stack serverless search application using AWS Amplify, Amazon Cognito, Amazon API Gateway, AWS Lambda, and Amazon OpenSearch Serverless

AWS Big Data

This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. Based on metadata, content is returned from Amazon S3 to the user.

Metadata 107
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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. The business benefits of a data fabric are real.

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Data Governance Maturity and Tracking Progress

erwin

erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Some business units benefit more from data governance than others, and some business units have to invest more energy and resources into the change than others.”. Maturity Levels.

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How Data Governance Protects Sensitive Data

erwin

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Providing metadata and value-based analysis: Discovery and classification of sensitive data based on metadata and data value patterns and algorithms.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.