ニュース

AIとNoSQLデータベースが技術のコラボが未来を作る

IT Pro

2017年3月30日

NoSQLデータベース技術で先頭を走る米MarkLogic社と高度なAI技術を有するNTTデータの連携がどのような未来をもたらすかの対談

Few firms will be ready for new European breach disclosure rules, fines

CSO Online

2017年5月24日

A cautionary piece to firms encouraging them to prepare for the upcoming EU GDPR regulation. Ken Krupa comments on where companies should start when considering GDPR and the importance of first taking stock of what data they collect and where they keep it.

The Best Big Data Companies and CEOs to Work For in 2017 Based on Glassdoor

Forbes

2017年5月20日

MarkLogic featured as one of the best big data companies to work for after Forbes pulls data from Glassdoor and compares it to CRN’s Top Big Data 100 2017 List.

Making Sure ‘Agile’ Data Is Not Just Secured… But Competitive

CSO

2017年5月18日

MarkLogic’s Tim Macdermid, AVP APAC, explains how companies can strike the right balance between an agile data model and strong data security.

データベース技術の新たな進化を体現した「MarkLogic® 9」を提供開始し、データベース市場を変革

PCWorld

2017年5月18日

With new data integration, security and manageability features, MarkLogic 9 enables organisations to more rapidly, securely and affordably achieve a unified, actionable 360-degree view of their data.

データベース技術の新たな進化を体現した「MarkLogic® 9」を提供開始し、データベース市場を変革

CSO

2017年5月18日

Faster, easier data integration with industry-leading data security is the bottom line of MarkLogic 9. ML9 brings an evolved, next-gen solution to the enterprise, surpassing the traditional relational database approach.

MarkLogic Transforms the Database Market with MarkLogic 9

Dataversity

2017年5月18日

Faster, easier data integration with industry-leading data security is the bottom line of MarkLogic 9. ML9 brings an evolved, next-gen solution to the enterprise beyond the old relational database approach.

MarkLogic Bolsters Document Database

IT Business Edge

2017年5月18日

Technology influencer Michael Vizard speaks to Joe Pasqua about the new features in ML9 and MarkLogic’s expertise in building flexible database platforms capable of supporting multiple transactions at scale in the enterprise as an alternative to using traditional relational database technology.

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