Author: polaris

Metatron Discovery 3.0.1 is released

It has some minor improvment and bug fixes from 3.0.0 version. We will release a minor patch version every two weeks. The following are improvements in this version: Enhancement #2 Improved chart y axis properties #4 Adjust loading area on dashboard #15 Snapshot generation status #22 Add “maximum categories” property for pie chart #1 Show…
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Metatron is going to SOSCON 2018

The Samsung Open Source Conference’ also known as SOSCON is underway at the Samsung R&D Center at Ueon-dong, Seoul. This conference took place on October 17 and 18, 2018. This is one of the largest open-source conferences where over 1000 developers will participate in the conference every year. We, SK Telecom, will participate the exhibition…
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Metatron Discovery 3.0.0 is out

An initial release version(3.0.0) of Metatron Discovery is out! We used to be a B2B solution that personally managed the source code until now. But we are interested in making the Metatron more popular and develop it together. Also we wanted to create a community of people using Metatron as well. So we decide to…
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Talks for ApacheCon North America 2018

ApacheCon brings developers and technologists from around the world together to discuss the latest innovations in containers, cloud, DevOps, IoT, servers, web frameworks, and many other Apache projects and communities in a collaborative, vendor-neutral environment. We, Metatron team members, have been announcing annually on ApacheCon about open source projects. Upcoming ApacheCon will be held September…
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Metatron distributed Druid

Metatron implements distributed in-memory engine based on Druid which is a high-performance, column-oriented, distributed data store. It supports users can discover insights from data intuitively and query for the massive volume of data. Adaptation of Druid Technology Why choose Druid? Metatron needed an end-to-end solution that enables management of the whole process of data analysis…
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7th Druid Meetup in Seoul, Korea

  Druid is a distributed, column-oriented, real-time, interactive analytical datastore. It was created to allow consistently fast, multidimensional ad-hoc drill-down type querying for large quantities of data – in real time. If you’re searching for a solution beyond what proprietary column oriented, or in memory data stores offer both in price and capability – then…
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