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Optum Technology
Provider Data Platform
Siavash Sedghi
Lead Software Engineer
September 2021
Developing Custom Transformations
in the Kafka Connect to Minimize Data
Redundancy
Sep 2021 – Kafka Summit Americas
Our Mission
To help people live healthier lives and to help
make the health system work better for everyone.
Optum by numbers
o Optum serves 127 million individual consumers
o Optum serves 9 out of 10 U.S. hospitals
o Optum serves ~9 out of 10 Fortune 100 employers
o Optum serves more than 90,000 physicians, practices and other health care facilities as
well as non-profit associations and organizations
o Optum serves a network of over 67,000 pharmacies
4
Architecture
5
The Journey Begins
Data ingestion from multiple resources (Kafka Connect)
Data enrichment (KTable Joins & Streaming API)
Aggregation and metrics calculation (Kafka Streaming API)
Sinking data to database (Kafka Connect)
Near real-time APIs to serve the data
6
Broker Instance Fee Broker Storage Fee Data Transfer Fee
Cost of Operating a Kafka Cluster
7
Broker Instance Fee Broker Storage Fee Data Transfer Fee
Cost of Operating a Kafka Cluster
8
Reducing Broker Storage Cost by Minimizing Data
Redundancy in Topics
Build-in Transformations
9
Example:
10
Example:
11
Example:
12
Example:
13
Example:
14
Implementing a Transformation
15
Implementing a Transformation
16
Add your Jar file to the base docker image
Implementing a Transformation
17
docker logs -f kafka-connect
cat /var/log/kafka/connect.log
DEMO
Siavash Sedghi
19
Optum® is a registered trademark of Optum, Inc. in the U.S. and other jurisdictions. All other brand or product names
are the property of their respective owners. Because we are continuously improving our products and services,
Optum reserves the right to change specifications without prior notice. Optum is an equal opportunity employer.
© 2021 Optum, Inc. All rights reserved.

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