‘Stream processing at scale’ & ‘Cloud Scale Read/Write SQL Caching’

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11 Park Pl · New York, NY

How to find us

Come to reception and ask for the NYC In-Memory Computing Meetup!

Location image of event venue


Key takeaways from this meetup: “cache coherency,” “concurrency,” “ACID transactions,” “high availability,” and “stream processing” (at scale), “SQL,” “Cloud Scale Read/Write,” “open source,” “IoT”

Yes! February 6 marks the next gathering of the NYC In-Memory Computing Meetup! Note: We’ll be using a new venue for this meetup!

Join us at WeWork’s posh meeting space at 11 Park Place, New York, NY 10007. We’ll have tasty food, refreshing drinks and of course awesome raffle prizes. And oh, yes – two excellent talks!

Our speakers:
> Doug Hood, Oracle TimesTen Scaleout evangelist
> Akmal Chaudhri, Apache Ignite evangelist

* 6 p.m. – Food and drinks
* 6:15 p.m. -- Talk 1 (Doug): " Cloud Scale Read/Write SQL Caching with No Code and Great Latency"
* 7:00 p.m. Q&A for Doug
* 7:05 p.m. -- Talk 2 (Akmal): “Stream processing at scale”
* 7:50 p.m. -- Q&A for Akmal
* 7:55 p.m. -- Raffle drawings
* 8:00 p.m. Finis!

Talk details:

>> Doug’s talk: “Cloud Scale Read/Write SQL Caching with No Code and Great Latency”

In this talk, learn how to use an Application Tier Database Cache with SQL.

Writing a naive SQL read or write cache is easy. Writing a SQL read/write cache with cache coherency, concurrency, ACID transactions and high availability is hard.

Having your SQL read/write cache enable a latency of less than 1 ms at the 99th percentile without any user code is very hard. Doug’s talk will unpack it all and make it easy to understand.

>> Akmal’s talk: “Stream processing at scale”

Stream Processing is a Big Data technology used to query continuous data streams and quickly (within milliseconds) detect conditions based on that data. However, making stream processing scale requires making all the components (messaging, processing and storage) scale together. Easier said than done. Until now.

Akmal will share some of the best practices companies have used for making the open source Apache Kafka and open source Apache Ignite scale.

Apache Kafka is a community distributed streaming platform capable of handling trillions of events a day. Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale. ]

During his talk, Akmal will provide:
* Working examples of how Ignite and Kafka are used together
* Recommended approaches for deployment, monitoring and management
* Tips and tricks for performance and scalability tuning
* Answers to your questions

This is a free event. Food and beverages will be served.