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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

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Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained

Data Virtualization

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

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Real estate CIOs drive deals with data

CIO Business Intelligence

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates. Augmenting real estate relationships with data Keller Williams, another leading residential player, also kicked off its digital transformation roughly seven years ago.

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Digital Twin at a Glance – Revolutionizing the Industrial Domain

TDAN

The industrial landscape is undergoing a digital transformation at a breakneck speed. Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, Big Data, digital twins, and robotics, in their processes, products, and workflows.

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How Metadata Makes Data Meaningful

erwin

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

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How Huron built an Amazon QuickSight Asset Catalogue with AWS CDK Based Deployment Pipeline

AWS Big Data

The DevOps practices which revolutionized software engineering in the last decade have yet to come to the world of Business Intelligence solutions. Business intelligence tools by their nature use a paradigm of UI driven development with code-first practices being secondary or nonexistent.

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How Metadata Makes Data Meaningful

erwin

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.