Casting the Spell: Druid in Practice
Formal Metadata
| Title | Casting the Spell: Druid in Practice |
|
| Title of Series | |
| Number of Parts | 69 |
| Author | |
| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. |
| Identifiers | |
| Publisher | |
| Release Date | |
| Language | |
Content Metadata
| Subject Area | |
| Genre | |
| Abstract | At our company, we leverage Apache Druid to provide our customers with real-time analytics tools for various use-cases, including in-flight analytics, reporting and building target audiences.
The common challenge of these use-cases is counting distinct elements in real-time at scale.
We've been using Druid to solve these problems for the past 5 years, and gained a lot of experience with it.
In this talk, we will share some of the best practices and tips we've gathered over the years.
We will cover the following topics:
- Data modeling
- Ingestion
- Retention and deletion
- Query optimization |
|
