Microservices in a Data Ecosystem

Details
Join us as Eugene Goldberg, Anish Dave, and Vlad Pasman will explain how Redshelf, built an Ecosystem with Snowflake, Kafka, AWS Lambda, and many other technologies. Redshelf uses Kafka+Debezium to ingest Change Data Capture events originating from various Postgres and other sources into Snowflake for operational reporting and real-time analysis. Topics to be discussed:
- Building operational data store in snowflake
- What is ODS and Why we needed one
- BackOffice Product Vision
- Challenges with choosing the right architecture
- How do we ingest data
- Implementation
- Hands-on Examples
- Data Quality on the budget
- Q&A
- Data as a Service
- How we used to deliver data
- Internal Reporting, Retool, Microservices
- SnowSight/Domo
- We are not there yet. Next Steps
- Q&A
- Role of Kafka in Building a Microservices Ecosystem at Redshelf
- Our Vision
- Why Kafka
- What do we use it for today
- Using Kafka to improve Data Quality
- Q&A
Agenda:
5:15 - Doors Open
5:30 --- Food and Networking
6:00 --- Presentation
7:00 --- Q&A
## Bios
Eugene is a VP of Engineering at Redshelf responsible for Operations.
Anish is an expert Director of Product responsible for the BackOffice Strategy.
Vlad is a Director of Engineering at Redshelf responsible for the Back Office and Data and Analytics Functions.
## About Redshelf
RedShelf, an EdTech company helping to make education more affordable through the efficient delivery of digital course materials.
As one of the nation’s leading EdTech companies, RedShelf has helped thousands of colleges, businesses, and publishers transition effortlessly from traditional print to more affordable, efficient digital textbooks and learning content.
Offering a vast catalog of titles on our award-winning eReader, plus an end-to-end Content Delivery System to streamline every step in the distribution process, we're your one-stop shop for digital evolution.

Microservices in a Data Ecosystem