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Worldcup Analysis with Metatron Discovery

Let’s make a dashboard for analysis using the World Cup match results data. This document will show you how Metatron Discovery ‘s Data Prep function and workbook features can be used in your analysis. 1. Creating datasets for Worldcup First, let’s get the data with World Cup matches result information. You can download data for the World Cup matches result in Excel format from Tableau’s Public Data site. Now let’s process the downloaded data using Data Prep. All accounts of…

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 at once. Druid was adequate for such need for the following reasons: First is speed. Druid compiles large volumes of data in real time and…

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 join us. The Druid@Seoul is dedicated to bringing together users and developers of Druid to exchange knowledge, insight, and spur the adoption of Druid for innovative…

Announcing Metatron Discovery: A new open source business intelligence platform powered by Druid

Today, I am extremely excited to announce Metatron Discovery, a new open source business intelligence platform powered by Druid. We first began working on Druid from SK Telecom for a few years, we’ve been proud to contribute the project grow and take on a life of its own. Our initial goal was to enable users to arbitrarily explore and aggregate data, and have visualizations update as fast as users could navigate through the data. We needed a data store that…