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Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

Business Insights | Customer Stories
 
セマンティックでデータをナレッジに
製造業の革新的な企業がMarkLogicのセマンティックを使ってどのようにデータをナレッジに変換しているのかをご紹介します。
Business Insights | Customer Stories
 
Transforming Data into Knowledge with Semantics
Learn how innovative manufacturing organizations use MarkLogic Semantics to transform data into knowledge.
Comparison
 
Bloor Research Graph Database Market Comparison
MarkLogic was named a Champion by Bloor Research in their newly released market comparison report on graph databases.
Use Cases
 
Technology and the Trade Lifecycle: Where We’re Going
Find out how a trade data hub from MarkLogic helps financial services organizations modernize trade architectures to improve operational and financial performance.
Architect Insights
 
Semantics and RDF Triples: Keys to Unlocking the Flexibility and Agility of ODH
In an ODH, semantics and RDF triples provide many capabilities with respect to managing data and the complexities of data integration. Find out how these help express interesting sets of data facts and relationships.
Semantics nodes
Architect Insights
 
Semantics: When to Use Graph Models and Why
Get advice on when to use – or not use – graph models, and some tips for developers.
Analytics Vision
Company
 
アナリティクスを成功させるために：MarkLogicのビジョン
2018年版「アナリティクス向けデータ管理ソリューションマジック・クアドラント」1において、MarkLogicとグーグルの2社がビジョナリーに位置付けられました。ガートナーのこのマジック・クアドラントでビジョナリーに選ばれたのは、2年連続です。
Analytics Vision
Company
 
Successful Analytics: MarkLogic Has the Vision
In the 2018 Magic Quadrant for Data Management Solutions for Analytics1, MarkLogic and Google are the two companies positioned in the Visionaries quadrant of the Magic Quadrant. We see our positioning as a big validation of our vision of making data analytics and management central to the success of every enterprise around the world, and […]
Developer Insights
 
Building a Semantic Recommendation Engine: the Sequel
In this follow-up post, we use social media to improve recommendations from the semantics recommendation engine.
Developer Insights
 
Building a Semantic Recommendation Engine
MarkLogic's triple store allows us to use custom inferencing rules, consumer profiles and dynamic behavior to build a simple, foundational, semantic recommendation engine.