April 15, 2020
DBS is using Apache Druid to handle the AML investigation for the compliance team. The AML (anti-money laundering) workflow generates alerts which are tracked within Druid. The transactional data is ingested from RDBMS to S3 and ingested back to Druid at regular intervals. Investigators can now slice and dice over millions of data with low latency. Currently over 4 million transactions per day are recorded in Druid.
In addition to this, the following use cases are powered by Druid:
Real time dashboards from druid for the monitoring purpose. Druid also serves the aggregated data required for the Machine Learning modelling for AML module. Which no other data store provide similar performance results
April 17, 2020
Gian Merlino, Apache Druid PMC Chair, offers his reflections on the Druid journey to date, plus describes his vision for what Druid will become.
April 16, 2020
Athena Health is creating a new performance management application for its clients. One of its key components is Apache Druid.
April 15, 2020
The DBS compliance team uses Druid to help with anti-money laundering (AML) , allowing them to explore anomalies and apply machine learning.
April 14, 2020
BT discusses their Apache Druid journey, which started in early 2019 when they asked Imply to help us with an in-house Network Performance Management project
April 13, 2020
Twitter discusses the architecture of their analytics platform, Apache Druid cluster setup, hardware choices, monitoring and use cases.
April 12, 2020
Cisco covers experiences and insights on how they deploy, monitor, and integrate Apache Druid with their applications.
April 11, 2020
The world’s most adept Apache Druid experts take any and all questions.