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マルチモデルデータ分析およびデータエコシステム統合の方法が増えました。また、デプロイ、管理、監査がより簡単になりました（クラウドを含む）。
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絞込条件
Learn about data bias in AI, ways technology can help overcome it, why AI still needs humans, and how you can achieve transparency.
Get info on recent and upcoming product updates from John Snelson, head of the MarkLogic product architecture team.
Good data is essential for good business decisions. Progress’ structured capabilities and MarkLogic’s data platform and management features will give a complete view of data, enabling customers to gain meaningful insights.
The MarkLogic Kafka Connector makes it easy to move data between the two systems, without the need for custom code.
Get more value from your content by improving discoverability. Learn about the key elements of a smarter content roadmap, and what steps most enterprises are missing.
MarkLogic helps agency decision-makers connect to their IT data quickly, make better decisions, become more agile, and solve their most difficult cyber challenges.
MarkLogic 11 introduces support for GraphQL queries that run against views in your MarkLogic database. Customers interested in or already using GraphQL can now securely query MarkLogic via this increasingly popular query language.
MarkLogic has been at the forefront of solving complex data challenges for over 20 years. The industry recognizes us as a leader, offering significant capabilities to help solve the world’s most critical and complex data challenges. I’m proud to share that this pioneering spirit will continue as we become part of Progress. About the Progress […]
A data platform lets you collect, process, analyze, and share data across systems of record, systems of engagement, and systems of insight.
More ways to analyze your multi-model data and integrate with your data ecosystem. Easier to deploy, manage, and audit – including in the Cloud.
We’re all drowning in data. Keeping up with our data – and our understanding of it – requires using tools in new ways to unify data, metadata, and meaning.
Successfully responding to changes in the business landscape requires data agility. Learn what visionary organizations have done, and how you can start your journey.
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