Apache Druid
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Running Apache Hive 3, new features and tips and tricks
Categories: Big Data, Business Intelligence, DataWorks Summit 2019 | Tags: Druid, Hive, Kafka, Cloudera, Data Warehouse, JDBC, LLAP, Active Directory, Release and features, Hadoop
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…
Jul 25, 2019
Auto-scaling Druid with Kubernetes
Categories: Big Data, Business Intelligence, Containers Orchestration | Tags: EC2, Druid, Cloud, CNCF, Container Orchestration, Data Analytics, Helm, Kubernetes, Metrics, OLAP, Operation, Prometheus, Python
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…
Jul 16, 2019
Druid and Hive integration
Categories: Big Data, Business Intelligence, Tech Radar | Tags: Druid, Hive, Data Analytics, Learning and tutorial, LLAP, OLAP, SQL
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…
Jun 17, 2019
Accelerating query processing with materialized views in Apache Hive
Categories: Business Intelligence, DataWorks Summit 2018 | Tags: Calcite, Druid, Hive, OLAP, Release and features, SQL
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: Druid, HBase, Hive, ORC, Elasticsearch, Graphana, IOT
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…
By David WORMS
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Hive, Calcite and Druid
Categories: Big Data | Tags: Analytics, Druid, Hive, Database, Hadoop
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…
By David WORMS
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