If you didn't attend, you don't want to miss a much shorter synopsis of what was covered and get some thoughts from us as to why they are important. We'll talk about the main topics of the event. 1. ACID transactions on Cassandra by Aaron Ploetz, Datastax 2. Apache Flink with Apache Cassandra at Satyajit Thadeswar, Netflix 3. Durable Execution built on Apache Cassandra by Loren Sands-Ramshaw, Temporal 4. Switching from Mongo to Cassandra with Mongoose & new Stargate JSON API, Valeri Karpov 5. Cloud Native and Realtime AI/ML with Patrick Mcfadin and Davor Boncaci, Datastax

1. What’s New:
Cassandra Forward 2023
Recap
Recap of Cassandra Forward talks, learn about the new
upcoming features in the Apache Cassandra project. Covers
some 4.x and 5.x features.
Rahul Xavier Singh Anant Corporation
Cassandra Lunch 130

2. Apache Cassandra 4.x/5.1
has exciting new features
which will bring new use
cases to a an already
widely used database.

3. We help platform owners
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so our clients
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5. Our Customers

6. Agenda
● ACID transactions on Cassandra
● Apache Flink with Apache Cassandra
● Durable Execution built on Apache
Cassandra
● Switching from Mongo to Cassandra with
Mongoose & new Stargate JSON API
● Cloud Native and Realtime AI/ML

7. ● 5.0: CEP-15: General Purpose Transactions Based on
Accord (Apple Paper)
ACID transactions on Cassandra by
Aaron Ploetz

8. ● Flink is a real-time streaming
engine, similar to Spark
Streaming
● Built on Stream first, then does
micro-batches
● Netflix uses processes CDC from
different DBs in real-time
Apache Flink with Apache
Cassandra at Satyajit Thadeswar,
Netflix
Credits: Netflix Tech Blog
https://netflixtechblog.com/data-mesh-a-data-movement-and-processing-platform-netflix-1288bc
ab2873

9. ● Having long running microservices is a pain -
Workflows as Code
● Open source project. See Cassandra Lunch #88
● Supports different
DBs
● Scale is supported
by Cassandra
Durable Execution built on Apache Cassandra
by Loren Sands-Ramshaw, Temporal

10. ● Author of MongooseJS library works to use Stargate/Cassandra
as a source
● Potential of taking current MEAN / MERN apps and porting them.
Switching from Mongo to Cassandra with
Mongoose & new Stargate JSON API, Valeri Karpov
Credits: Stargate-Mongoose: https://github.com/stargate/stargate-mongoose

11. ● So much work goes
into getting data out ,
training, and then
inferring on current
data
● Getting data closer to
the ML
Cloud Native and Realtime AI/ML
with Patrick Mcfadin and Davor
Boncaci, Datastax
Credits: Uber Engineering Blog
https://www.uber.com/blog/michelangelo-machine-learning-platform/

12. 12
Key Takeaways for Cassandra Forward
ACID is coming to Cassandra
Flink / Alt. to Spark Streaming
Cassandra is built for Realtime ML
Node / Mongo ⇒ Stargate/Mongoose
- Cassandra continues to
innovate in it’s own feature set
: ACID, Mongo API
- Great software being built on
top of Cassandra: Temporal,
Feast
- Great opportunities to
Integrate : Spark, Flink, Kafka,
etc.
- Cassandra poised for the
real-time ML world which will
be the norm.
Workflows on Cassandra with Temporal

13. Resources
● https:/
/thenewstack.io/an-apache-cassandra-breakthrough-acid-transactions-at-scale/
● https:/
/thenewstack.io/mongoose-bringing-json-oriented-developers-to-apache-cassandra/
● https:/
/github.com/stargate/stargate-mongoose
● https:/
/netflixtechblog.com/data-mesh-a-data-movement-and-processing-platform-netflix-
1288bcab2873
● https:/
/www.uber.com/blog/michelangelo-machine-learning-platform/
● https:/
/www.youtube.com/watch?v=sSeN6rYmBsA
● https:/
/www.youtube.com/watch?v=f8v6k1o9owk
●

14. 14
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