In-Memory in Menlo Park!

Hosted by Bay Area In-Memory Computing Meetup

Public group
Bay Area In-Memory Computing Meetup
Bay Area In-Memory Computing Meetup
Public group


68 Willow Road · Menlo Park, CA

How to find us

Follow the signs once inside!

Location image of event venue


• What we'll do
Join us for some great Indian food, cold beverages and stellar talks about distributed systems! We'll be meeting May 17 in the same location as last month: Bootup, 68 Willow Road, Menlo Park, CA.

The evening's featured speakers:
* GridGain Systems Lead Architect Valentin (Val) Kulichenko
>> Improving Apache Spark™ In-Memory Computing with Apache Ignite™
* Oracle TimesTen Product Manager Doug Hood
>> Using Oracle TimesTen Scaleout
* Dave Nielsen, Head of Ecosystem Programs, Redis Labs
>> Redis Functions & Data Structures

* 6 p.m. -- Indian food, beverages (prepared by Bootup's on-site executive chef)
* 6:15 p.m. -- Talk 1 (Val)
* 6: 45 p.m. -- Talk 2 (Doug)
* 7: 15 p.m. -- Talk 3 (Dave)
* 7:50 p.m. -- raffle drawings
>> 1st prize: Xbox One S 500GB Console - Forza Horizon 3 Hot Wheels Bundle!
>> 2nd prize: Echo Dot, a hands-free, voice-controlled device that uses Alexa.
>> 3rd prize: $25 Amazon gift card
Register for the raffle here:
* 8 p.m. Finis

Talk 1: Val will explain how Apache Ignite™ simplifies development and improves performance for Apache Spark™. He'll demonstrate how Apache Spark and Ignite are integrated, and how they are used to together for analytics, stream processing and machine learning.

By the end of his presentation you'll understand:
* How Apache Ignite’s native RDD and new native DataFrame APIs work
* How to use Ignite as an in-memory database and massively parallel processing (MPP) style collocated processing for preparing and managing data for Spark
* How to leverage Ignite to easily share state across Spark jobs using mutable RDDs and DataFrames
* How to leverage Ignite distributed SQL and advanced indexing in memory to improve SQL performance

Talk 2: Doug will provide examples of how customers have been using TimesTen Scaleout. The business use cases, sample SQL, HA and transaction models and results will be covered.

Talk 3: Dave's talk -- When your web application suddenly explodes with 1000's of new users or your microservices need a boost, there is no easier way to increase throughput and reduce latency than with Redis in the cloud. These are just some of the reasons Redis has become one of the fastest growing databases and the most popular database deployed in containers. In this talk, Dave Nielsen, Head of Ecosystem at Redis Labs, will share the functions and data structures used by developers and sysadmins to solve common scalability challenges. Dave will share use cases such as session management, custom analytics, leaderboard, etc.

* * *
Like all of our meetups, this is free but please RSVP now so we can plan for the appropriate amount of food and seating.