Some Like it Hot: Choosing a System for Large-Scale Data Analysis

Jan 27, 2022 · Melbourne, Australia

Hi everyone,

Apache Druid provides a solution to ingest massive quantities of event data, and perform low-latency queries on top of the data. With this real-time analytics database, developers can build applications for slice-and-dice analytics on large data sets.

In this webinar, Jag Dhillon from Imply will talk through use cases of organisations using Apache Druid. He will share how to achieve uptime, performance, security, and reliability of applications using the open-source data store.

The webinar will cover:
- How Druid's query processing layer works;
- How Druid's components contribute to achieving top performance for analytical queries;
- Lessons learned from optimising Druid for different kinds of use cases.

The webinar will be held on Thursday 27th January 2022 via Webex. This meetup is targeted at professionals in the Big Data ecosystem.

Speaker Bio:
Jag Dhillon, Senior Sales Engineer, Imply
Jag Dhillon is a Sr. Sales Engineer and leads Imply's adoption across APJ as their Pre-Sales Lead for the region. Jag has been in the Data Analytics space for the past decade through his experience as one of ANZ's earliest Splunk employees, and he spent over 7 years at IBM before that. He enjoys speaking and has recently presented at the DataEngBytes conference and the Queensland Advanced Analytics meetup group.

About Imply:
Imply is a high-performance analytics solution to store, query, and visualize event-driven data. Imply is built around Apache Druid, and is founded by the creators of Druid.

We are looking forward to seeing you,

Event organizers

Are you organizing Some Like it Hot: Choosing a System for Large-Scale Data Analysis?

Claim the event and start manage its content.

I am the organizer

based on 0 reviews

Featured Events