We are excited to announce the May 23 launch the Tokyo In-Memory Computing Meetup! The event will feature four talks and run from 6:30-9:30 p.m. at Yahoo! JAPAN's co-working space "LODGE" in Tokyo. (Location details below). Topics include: "Getting Started with Apache Ignite as a Distributed Database" and "Apache Ignite In-memory Data Processing Platform: Features and Uses."

Agenda: 

* 7:05 p.m. -- "Getting Started with Apache Ignite as a Distributed Database" with GridGain's Stephen Leung.

* 7:30 p.m. -- "Apache Ignite In-memory Data Processing Platform: Features and Uses" featuring Roman Shtykh of Yahoo Japan Inc. and Apache Ignite committer and PMC member.

* 8 p.m. -- "In-memory data grid and distributed processing" with Yamakawa Masanori, Ulsystems Corporation and Apache Geode committer.

* 8:30 p.m. -- "Consolidate multiple physical servers with Tidal Scale for in-memory computing" by Ishii Yosuke of Tidal Scale Japan LLC.

Details:

Talk 1: "Getting Started with Apache Ignite as a Distributed Database." (Stephen Leung, GridGain Systems) 
Summary: Apache Ignite native persistence is a distributed ACID and SQL-compliant store that turns Apache Ignite into a full-fledged distributed SQL database. It allows you to have 0-100% of your data in RAM with guaranteed durability using a broad range of storage technologies, have immediate availability on restart, and achieve high volume read and write scalability with low latency using SQL and ACID transactions.

Learn how to get native persistence up and running, and tips and tricks to get the best performance. In this webinar, Valentin Kulichenko, GridGain’s Lead Architect, will explain:

> What native persistence is, and how it works
> Show step-by-step how to set up Apache Ignite with native persistence
> The best practices for configuration and tuning

Talk 2: "Apache Ignite In-memory Data Processing Platform: Features and Uses." (Roman Shtykh, Yahoo Japan Inc. and Apache Ignite committer and PMC member)
Summary: In this session, Roman will introduce Apache Ignite as in-memory data processing platform and explain several scenarios to make use of its in-memory technology.

Talk 3: "In-memory data grid and distributed processing." (Yamakawa Masanori, Ulsystems Corporation and Apache Geode committer)
Summary:  Simply using in-memory data grids cannot achieve high-speed processing. Only by using the in-memory data grid function can you achieve low-latency high-speed processing. In this session, we will show you what points to use and what functions to use when performing high-speed in-memory processing based on several use cases.

Talk 4: "Consolidate multiple physical servers with Tidal Scale for in-memory computing." (Ishii Yosuke, Tidal Scale Japan LLC). 
Summary: Tidal Scale Software-Defined Server overcomes the physical limitations of traditional server hardware while eliminating the complexity and operational burden of migrating to a scale-out solution, making it the best platform for in-memory data processing. Build In this session, we will introduce the features and usage of Tidal Scale Software-Defined Server based on several use cases.

Venue
Yahoo! JAPAN co-working space "LODGE" 
102-0094 
Tokyo Chiyoda-ku Kioicho 1-3 
Tokyo Garden Terrace Kioicho Yahoo! Inc. 17th floor 
https://lodge.yahoo.co.jp/
http://www.tgt-kioicho.jp/access/

Access to the venue
Tokyo Metro Namboku Line "Nagatacho Station" Exit 9a Direct Connection 
Tokyo Metro Hanzomon Line "Nagatacho Station" 2 minutes walk from Exit 7 
Tokyo Metro Marunouchi Line / Ginza Line 1 minute walk from Exit "Akasakamitsuke Station" D