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Sirius About Snowflake: How to Use Query Tags

CDW Research Hub

Snowflake is a modern cloud data platform that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Have questions?

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

It definitely depends on the type of data, no one method is always better than the other. For a large volume of structured data, for example, a customer master or data warehouse, where there are many stakeholders in your organization who need to see different subsets, tokenization is generally better. This stuff works.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

Weaving the Semantic Web with Semantic Annotations and Linked Open Data. Ontotext was founded in 2000 with the Semantic Web in its genes and we had the chance to be part of the community of its pioneers. We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery.

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Conversational AI: Design & Build a Contextual Assistant – Part 2

CDW Research Hub

epochs: 2000. The ultimate goal of natural language generation (NLG) is to teach models to turn structured data into natural language, which we can then use to respond to the user in a conversation. In addition, it provides hyperparameters that can be used to fine-tune the model. You can read more about REDP here.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

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Examining the Skills Most in Demand by Tax Teams: The Merger of Tech and Finance

Jet Global

Structuring data in a way that recognizes the importance of tax from the outset is far more efficient than a silo approach and common data models will be key enablers of a more holistic process.”. In large organizations, this can require significant amounts of resource and (potentially) programming skills.

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Save Time and Stress with Dynamics Data Merging from Atlas

Jet Global

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.