Dec 06, 2023

Load, Load, Don’t Drop, Drop & then Kill

As a follow on to last year’s Load, Drop & Kill session, we’ll do a recap on how retention rules are defined and how they are used by the Coordinator to oversee segment cacheing in a multi-tiered Apache Druid deployment. We’ll also cover some exciting new features. We’ll touch on how retention rules enable the new “Query from Deep Storage” feature. We’ll do another pass at the Coordinator cycle and how it has evolved including how it can now dynamically reconfigure itself. Finally we’ll do another pass at the lifecycle of a segment in a Druid cluster and highlight how this has changed since last year.

See similar videos

No records found...
Aug 16, 2024

Imply Polaris + Natural Intelligence: Powering Real-time Analytics & Observability

Imply Polaris provides the fastest path to real-time analytics by offering seamless data ingestion, auto-scaling capabilities, built-in visualization, and a secure, fully managed infrastructure. Watch this...

Watch now
Jan 29, 2024

Physical Hardware, Digital Analytics: IoT Challenges, Best Practices, and Solutions

From supporting ad-hoc queries across massive time series datasets to ensuring data freshness and scalability, our panelists will share insights into selecting the right database solutions that can deliver...

Watch now
Dec 11, 2023

Analyzing streaming data with Apache Druid

Streaming data is not only data in motion—it’s a potential source of valuable insights, ready to be harvested and utilized. The challenge is to analyze streaming data at scale and extract these insights—before...

Watch now

Let us help with your analytics apps

Request a Demo