Understand how Realtime Analytics can be done for a Real Industry Use case With Apache Pinot and Apache Flink
In Today’s Fast paced Business Environment, the ability to Extract Actionable Insights from data in a Realtime manner is very Important. Real-time Analytics can act as a differentiating factor between various Companies.
What you’ll 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.
Course Content
- Introduction –> 2 lectures • 5min.
- Practical Business Use Case –> 2 lectures • 10min.
- Data Ingestion with Apache Kafka –> 5 lectures • 15min.
- Realtime Data Processing with Apache Flink –> 10 lectures • 1hr 23min.
- Apache Pinot for Realtime Analytics –> 8 lectures • 42min.
- Creating Dashboards with Apache Superset –> 5 lectures • 23min.
- Summary –> 1 lecture • 1min.
- Bonus Section –> 1 lecture • 1min.
Requirements
In Today’s Fast paced Business Environment, the ability to Extract Actionable Insights from data in a Realtime manner is very Important. Real-time Analytics can act as a differentiating factor between various Companies.
Knowing how Realtime Analytics can be done, is a very important Skill set which is necessary right now and will be necessary in the future as well.
In this Course I have covered how you can do Realtime Analytics using Apache Pinot and Apache Flink with the help of a real industry use case. You will Understand how Real-time Analytics can be done for an Online Cab Service Company.
It is necessary to not just know the Theory but also implement Things Hands On. So this course has a lot of Hands On Sessions to show you how things can be implemented. Also at every step we will be focusing on the actual Business use case which is being solved
This Course Covers the following Topics:
- Understand Why Realtime Analytics is Needed.
- Understand Where Realtime Analytics comes in for a Use Case like Online Cab Service Company.
- Architecture of a Realtime Analytics System.
- An Introduction to Apache Kafka and also an illustration of how Kafka acts helps connect all the Components of a Real-time Analytics System.
- Basic Concepts of Apache Flink.
- Flink Dynamic Tables and Versioned Tables.
- Concepts Like Checkpoints and Watermarks in Apache Flink.
- Different types of Joins in Apache Flink Like Regular Joins and Temporal Joins.
- Realtime data ingestion and data upserts in Apache Pinot.
- Running Analytical Queries in Apache Pinot.
- Creating Dashboards for Realtime data in Apache Superset
By the end of this course, You will have a working Realtime Analytics System in your local system for an Online Cab Service Company.