Realtime Analytics with Apache Pinot and Apache Flink

Understand how Realtime Analytics can be done for a Real Industry Use case With Apache Pinot and Apache Flink

Created by: Aditya S
Technical Lead Data Platform

What Will I Learn?

• Understand how Realtime analytics can be done for a Real World business case of Online Cab Service Company
• Understand how Apache Flink can be used for Realtime Data Processing
• Understand how you can Join across multiple streams in Apache Flink
• Learn how to Lookup data in Flink from external data stores
• Learn how to Use Apache Pinot to run Realtime Analytical Queries
• Learn how Realtime Upserts are possible in Apache Pinot
• Learn how Apache Kafka acts as the Connecting layer between the various components in a Realtime Analytics System
• Learn how to create Dashboards for Realtime data in Apache Superset
• Everything in this course is use case focussed so that you can directly Apply this to a Real Life project

Requirements

• Having prior Knowledge of Java and SQL is helpful but not Mandatory
• Everything is thought within the course itself, So no Prior background is needed

Target audience

• For Developers Who want to Learn how Realtime Analytics Actually Happen for a Real World Use Case
• For Curious Techies Who are curious on how Big data technologies Work
• For Data Engineers Who are interested to Learn more about how Pinot and Flink fit in a bigger ecosystem
• For Anyone Who Wants to Apply Realtime Analytics for the projects they are working on Currently
• For Anyone Who wants to take on a new Role where you want to work Realtime Analytics