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What Is DataOps? Definition, Principles, and Benefits

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What exactly is DataOps ? The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively.

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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan

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DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Data mesh says architectures should be decentralized because there are inherent problems with centralized architectures.

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Enterprise Analytics: Key Challenges & Strategies

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One may define enterprise data analytics as the ability to find, understand, analyze, and trust data to drive strategy and decision-making. Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … Business strategy.

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Secrets from Data Governance Leaders: DGIQ West 2023 (June 5 – 9)

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American Family Insurance: Governance by Design – Not as an Afterthought Who: Anil Kumar Kunden , Information Standards, Governance and Quality Specialist at AmFam Group When: Wednesday, June 7, at 2:45 PM Why attend: Learn how to automate and accelerate data pipeline creation and maintenance with data governance, AKA metadata normalization.

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Data Profiling: What It Is and How to Perfect It

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For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.