This document profiles Diego Pacheco and summarizes information about Redis and Cassandra. Regarding Redis, it outlines that Redis is an in-memory key-value store written in C that is fast, robust, and supports data structures like strings, sets, sorted sets, hashes and lists. It can be used for caching, queues, primary data, and real-time analytics. For Cassandra, it notes that it is a column-oriented NoSQL database created by Facebook, inspired by Dynamo, written in Java, and focuses on availability and eventual consistency over strong consistency.

1. Diego Pacheco

2. @diego_pacheco
❏ Cat's Father
❏ Principal Software Architect
❏ Agile Coach
❏ SOA Expert
❏ DevOps Practitioner
❏ Speaker
❏ Author
diegopacheco
http://diego-pacheco.blogspot.com.br/
https://goo.gl/eEqvzl
About me...

3. NoSQL: Big Landscape

4. NoSQL Trade-offs

5. NoSQL: CAP Theorem
New
thinking...

6. Redis

7. Redis
❏ In-memory
❏ Key/Value store
❏ Written in C
❏ FAST
❏ Very robust
❏ Lots of specific commands / data structures
❏ Clients for several languages
❏ Redis-cluster: Master/Slave

8. Redis Use Cases
❏ Cache
❏ Message Queue
❏ Primary Data Store * -- Terms Apply
❏ Real Time ingestion buffer
❏ Handle Real Time analytics
❏ For management

9. Redis: Data Structures / Types
❏ String
❏ Set
❏ Sorted Set
❏ Hashes
❏ Lists
❏ Geo
❏ Pub/Sub

10. redis-cli

11. Cassandra
http://cassandra.apache.org/

12. Cassandra
❏ Column oriented NoSQL
❏ Created by Facebook for Inbox Search
❏ Inspired from Amazon Dynamo Paper
❏ Written in Java
❏ Symetrics Nodes - NO SPOF
❏ Scalable
❏ Awesome Write throughput
❏ High Availability
❏ Eventual Consistency
❏ Consistency is tunable

13. Cassandra: Battle Tested

14. Cassandra is focused on Availability

15. Multi-DC

16. Tombstones
❏ Deleted data is MARKED as Removed == Tombstone
❏ Data is deleted and removed during compaction
❏ Compaction can happen in few days depending of the
configs.
❏ Queries on partition with lots of tombstones requires lots of
filtering which can slow down the CASS performance.
❏ Collections operations can lead to tombstones depending
on what you do.
❏ There are Compaction Trade-Offs.

17. Code: Jedis + Redis
https://github.com/diegopacheco/Diego-Pacheco-Sandbox/tree/master/scripts/ja
va/java-jedis-module-fun

18. Code: Cassandra + DataStax Driver
https://github.com/diegopacheco/netflixoss-pocs/tree/master/cassandra-datastax-
javadriver-fun

19. Diego Pacheco