Apache Druid
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Running Apache Hive 3, new features and tips and tricks
Categories: Big Data, DataWorks Summit 2019, Business Intelligence | Tags: Hadoop, LLAP, Release and features, JDBC, Hive, Druid, Kafka
Apache Hive 3 brings a bunch of new and nice features to the data warehouse. Unfortunately, like many major FOSS releases, it comes with a few bugs and not much documentation. It is available since…
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Auto-scaling Druid with Kubernetes
Categories: Big Data, Business Intelligence, Containers Orchestration | Tags: Metrics, Helm, Kubernetes, Cloud, Python, Operation, EC2, OLAP, CNCF, Data Analytics, Container Orchestration, Prometheus, Druid
Apache Druid is an open-source analytics data store which could leverage the auto-scaling abilities of Kubernetes due to its distributed nature and its reliance on memory. I was inspired by the talk…
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Druid and Hive integration
Categories: Big Data, Tech Radar, Business Intelligence | Tags: LLAP, OLAP, SQL, Hive, Data Analytics, Druid
This article covers the integration between Hive Interactive (LDAP) and Druid. One can see it as a complement of the Ultra-fast OLAP Analytics with Apache Hive and Druid article. Tools description…
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Accelerating query processing with materialized views in Apache Hive
Categories: DataWorks Summit 2018, Business Intelligence | Tags: Calcite, Release and features, OLAP, SQL, Hive, Druid
The new materialized view feature is coming in Apache Hive 3.0. Jesus Camacho Rodriguez from Hortonworks held a talk ”Accelerating query processing with materialized views in Apache Hive” about it…
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Essential questions about Time Series
Categories: Big Data | Tags: HBase, Data Science, ORC, Elasticsearch, Hive, Druid, IOT, Graphana
Today, the bulk of Big Data is temporal. We see it in the media and among our customers: smart meters, banking transactions, smart factories, connected vehicles … IoT and Big Data go hand in hand. We…
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Hive, Calcite and Druid
Categories: Big Data | Tags: Hadoop, Business intelligence, Database, Hive, Druid
BI/OLAP requires interactive visualization of complex data streams: Real time bidding events User activity streams Voice call logs Network trafic flows Firewall events Application KPIs Traditionnal…
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