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Event Stream Analytics with Druid (Search Engine meet Column DB) at Walmart

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@ -154,6 +154,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [Bullet: Forward-Looking Query Engine for Streaming Data at Yahoo](https://yahooeng.tumblr.com/post/161855616651/open-sourcing-bullet-yahoos-forward-looking) * [Bullet: Forward-Looking Query Engine for Streaming Data at Yahoo](https://yahooeng.tumblr.com/post/161855616651/open-sourcing-bullet-yahoos-forward-looking)
* [Benchmarking Streaming Computation Engines at Yahoo](https://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-computation-engines-at) * [Benchmarking Streaming Computation Engines at Yahoo](https://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-computation-engines-at)
* [Messaging Service at Riot Games](https://engineering.riotgames.com/news/riot-messaging-service) * [Messaging Service at Riot Games](https://engineering.riotgames.com/news/riot-messaging-service)
* [Event Stream Analytics with Druid (Search Engine meet Column DB) at Walmart](https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)
* [Deduplication Techniques](https://en.wikipedia.org/wiki/Data_deduplication) * [Deduplication Techniques](https://en.wikipedia.org/wiki/Data_deduplication)
* [Exactly-once Semantics are Possible: Here’s How Kafka Does it](https://www.confluent.io/blog/exactly-once-semantics-are-possible-heres-how-apache-kafka-does-it/) * [Exactly-once Semantics are Possible: Here’s How Kafka Does it](https://www.confluent.io/blog/exactly-once-semantics-are-possible-heres-how-apache-kafka-does-it/)
* [Real-time Deduping at Scale with Kafka-based Pipleline at Tapjoy](http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale) * [Real-time Deduping at Scale with Kafka-based Pipleline at Tapjoy](http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale)
@ -204,8 +205,8 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [Consistent Hashing in Cassandra](https://blog.imaginea.com/consistent-hashing-in-cassandra/) * [Consistent Hashing in Cassandra](https://blog.imaginea.com/consistent-hashing-in-cassandra/)
* [Understanding Gossip (Cassandra Internals)](https://www.youtube.com/watch?v=FuP1Fvrv6ZQ) * [Understanding Gossip (Cassandra Internals)](https://www.youtube.com/watch?v=FuP1Fvrv6ZQ)
* [When NOT to use Cassandra?](https://stackoverflow.com/questions/2634955/when-not-to-use-cassandra) * [When NOT to use Cassandra?](https://stackoverflow.com/questions/2634955/when-not-to-use-cassandra)
* [Avoid Pitfalls in Scaling Cassandra Cluster: Lessons and Remedies at Walmart Labs](https://medium.com/walmartlabs/avoid-pitfalls-in-scaling-your-cassandra-cluster-lessons-and-remedies-a71ca01f8c04) * [Avoid Pitfalls in Scaling Cassandra Cluster at Walmart](https://medium.com/walmartlabs/avoid-pitfalls-in-scaling-your-cassandra-cluster-lessons-and-remedies-a71ca01f8c04)
* [Storing Images in Cassandra at Walmart Labs](https://medium.com/walmartlabs/building-object-store-storing-images-in-cassandra-walmart-scale-a6b9c02af593) * [Storing Images in Cassandra at Walmart](https://medium.com/walmartlabs/building-object-store-storing-images-in-cassandra-walmart-scale-a6b9c02af593)
* [Cassandra at Instagram](https://www.slideshare.net/DataStax/cassandra-at-instagram-2016) * [Cassandra at Instagram](https://www.slideshare.net/DataStax/cassandra-at-instagram-2016)
* [Scale Ad Analytics with Cassandra at Yelp](https://engineeringblog.yelp.com/2016/08/how-we-scaled-our-ad-analytics-with-cassandra.html) * [Scale Ad Analytics with Cassandra at Yelp](https://engineeringblog.yelp.com/2016/08/how-we-scaled-our-ad-analytics-with-cassandra.html)
* [Store Billions of Messages with Cassandra at Discord](https://blog.discordapp.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7) * [Store Billions of Messages with Cassandra at Discord](https://blog.discordapp.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7)