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There is no shortage of systems that claim to help with the analysis of large amounts of data. Under the hood, today's popular systems have a variety of interesting and unique architectures.

In this talk, Jag Dhillon, a Sr. Sales Engineer from Imply, will reflect on why you can never seem to find that single perfect system, and how to evaluate the capabilities of various systems through the prism of a temperature-based spectrum of use cases, from cold to hot analytics.

Apache Druid is a modern cloud-native, stream-native, analytics database designed for workflows where fast queries and instant ingest are important. Druid excels at instant data visibility, ad-hoc queries, operational analytics, and handling high concurrency. It is a strong candidate for being the workhorse system for hot analytics.

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Jag Dhillon has been in the Data Analytics space for the past decade through his experience as one of ANZ's earliest Splunk employees & at IBM before that. Currently, Jag leads Imply's adoption across APJ as their Pre-Sales Lead for the region.

Imply is a high-performance analytics solution to store, query, and visualize streaming, operational data. Imply is built around Apache Druid, and is founded by the creators of Druid. Investors include Andreessen Horowitz and Khosla Ventures.

Customers such as Twitter, Adobe, and Walmart leverage Imply to slice-and-dice large scale steaming and event data in real time.

Connect with Jag: https://www.linkedin.com/in/jag-dhillon-7401403/
Learn more about Imply: www.imply.io

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