Imply-Confluent.png

Monetize streaming data with

real-time analytics applications


Why Kafka and Druid are the Perfect Match for Real-Time Analytics Applications

Date: Thursday, March 17, 2022
Time: 3:00PM - 4:00PM GMT+8


To succeed in today’s increasingly competitive environment, organizations need real-time, granular insights into their business and operations to grow revenues, fight fraud, and deliver a great customer experience over digital channels. At the same time, share these real-time operational and business insights externally with the customers and partners they serve.


To gain these real-time operational and business insights and share them with customers and partners, requires developers to build apps that bring together streaming data and interactive analytics to push real-time visibility to the next level. This leaves developers trying to figure out what is the right architecture.


Many are asking - how can I ingest millions of events per second? How can I analyze billions of rows interactively in seconds? How can I scale to thousands of end-users concurrently without prohibitive costs? That’s where the K2D (Kafka-to-Druid) stack comes in.


Companies like Netflix, Pinterest, Citrix - as well as Confluent and Imply - have built analytics applications leveraging the K2D stack for real-insights for internal and external users. Join Confluent and Imply at 3 pm on Thursday March 17, where we will take attendees on a journey to explore:


  • What problems does Kafka solve and how does Confluent make it easier?
  • Key challenges for building real-time analytics applications and how Imply and Druid fit into the world of analytics applications
  • Live demo + use cases
    • how to build an architecture to capture and transform streaming data to analytics applications
    • what are some of the use cases from digital native organizations and how these leading companies use Kafka and Druid to achieve their business goals

Lorem Ipsum Dolor

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Lorem Ipsum Dolor

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Title


Sub Title

Title
Text

Title
Text

Title
Text

Title
Text

Title
Text

Title
Text

Jag Dhillon

Pre-Sales Lead

Imply, APJ

FirstName LastName

Product Manager

Imply

Leo Yuen

Partner Solutions Engineer

Confluent

Resources

Placeholder
eBook

Title

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Placeholder
eBook

Dolor sit diam nonummy nibh euismod tincidunt

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Placeholder
eBook

Dolor sit diam nonummy nibh euismod tincidunt

Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

Learn more about Imply or get started now.

Registration