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Deploying Metatron with the Fully Engineered Docker Image

Metatron Discovery is a very useful BI solution that contains from data preparation to end-user visualization, but because of that wide coverage, the required components are rather more than other independent solutions, so installation, configurations could be very tiresome. Supporting clients of ours, I felt that if we could deploy as a docker image at…
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Using Apache Spark in Data Preparation

Recently, Discovery Spark Engine has been introduced in Metatron Discovery. It is an external ETL engine based on Spark SQL. The embedded engine suffers huge garbage collection pressure if the record count reaches more than 1M. In this case, Discovery Spark Engine is the best solution. To avoid complex dependency problems, Discovery Spark Engine is…
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Metatron at AWS re:invent 2019

AWS re:Invent 2019 kicks off in Las Vegas next week! Every year, AWS re:Invent introduces AWS emerging technologies, including databases, analytics and big data, security and compliance, enterprise, machine learning. Meet with our experts at the SK telecom booth at 2002 to learn more about Metatron! SK telecom Metatron Booth #2002 Date: December 02-06, 2019 Location:…
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How to Use Hive UDFs with Druid

Metatron distributed Druid supports SQL like Apache Druid. It also provides more usability by supporting the Hive’s UDF and UDAF. In this article, we will see how to register and use UDFs written in Hive with the Metatron distributed Druid. Note: You must download the latest hotfix Metatron distributed Druid for using the UDF plugin.…
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