Remove Data Quality Remove DataOps Remove Demo
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Demystifying Data Mesh

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Quality and formatting may differ with more autonomous domain teams producing data assets, making interoperability difficult and data quality guarantees elusive. Data discoverability and reusability. Data products must be properly designed and organized to be reused across the organization.

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

Alation

And don’t miss my demo presentation at the booth! We’ll have a team on-site and encourage you to stop by our booth in the exhibit hall.

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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. So we have to be very careful about giving the domains the right and authority to fix data quality. Tools became stacks.

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Enterprise Analytics: Key Challenges & Strategies

Alation

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Evaluate and monitor data quality.