Register now for - "CDO TechVent for Next-Generation Data Catalogs: Practices and Products You Need to Know" - Wednesday, June 21, 11:30 a.m. Eastern Time.
ABSTRACT:
An operating model aligns data & analytics resources across the enterprise. Its goal is to push development close to the business while maintaining standards that ensure data consistency and alignment throughout the enterprise. It provides the benefits of decentralization and centralization...
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ABSTRACT:
The data pipeline market comprises four segments: data ingestion, data transformation, DataOps, and orchestration. This blog defines three principles for successful pipelines: (1) watch the innovative startups; (2) use suites where you can; and (3) use point tools where you must.
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It can be difficult for companies to transfer their most valuable data from enterprise systems to cloud data environments, even with the advancements in...
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Learn why data products matter in modern analytics and the practical strategies that you should consider for successful data product implementations.
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A zone-based data refinery creates an agile, adaptable data environment that supports new and unanticipated business requirements quickly.
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Many data engineers already use large language models to assist data ingestion, transformation, DataOps, and orchestration.
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At IAPP Summit, privacy and data governance leaders expressed the importance of a collaborative operating model.
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Vector databases are the new category of NoSQL databases which stores, manages, and searches vector embeddings for unstructured data.
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A robust data workflow testing strategy helps ensure the accuracy and reliability of data processed within a data pipeline.
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Data mesh is giving many of us from the data warehouse generation a serious case of agita. But, my fellow old-school data tamers, it’s going to be ok.
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The operational data hub is a messaging hub where applications share information about data events using a publish-and-subscribe model.
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