Big Data, San Francisco v 5.0

Big Data, San Francisco v 5.0 is happening July 18! Sponsored by GridGain Systems, catch a talk by our Denis Magda titled: “Adding Speed and Scale to Existing Applications with No Rip and Replace Using Apache Ignite.” Join 100+ #DataScientists for the #BigData Meetup! Free but must RSVP! http://bit.ly/v5BigData

Location: WeWork Embarcadero Center
2 Embarcadero Center
San Francisco, CA 94111

Schedule:

6:00 - 6:30 PM: Registration & Introduction talk by Maren Lesche, Head of Partnerships and Ecosystem Development at Data Natives

6:30 - 6:50 PM: Denis Magda, Director of Product Management at Gridgain Systems

“Adding Speed and Scale to Existing Applications with No Rip and Replace Using Apache Ignite.”

It's hard to improve the customer experience when your existing applications can't handle the ever-increasing customer loads, are inflexible to change and don't support the real-time analytics or machine learning needed to improve the experience at each step of the way. Join us for part 1 of the in-memory computing best practices series. Learn how companies are not only adding speed and scale without ripping out, rewriting or replacing their existing applications and databases, but also how they're setting themselves up for future projects to improve the customer experience. This webinar will explain with examples:

• How to start with Apache Ignite as an In-Memory Data Grid (IMDG) deployed on top of RDBMS or NoSQL database
• How to keep data in sync across RAM (Apache Ignite) and disk (RDBMS/NoSQL database)
• How to leverage from Apache Ignite distributed SQL and ACID transaction for IMDG scenarios
• How to move further and start to build HTAP applications, real-time analytics, and machine learning, on the same IMDG

6:55 - 7:15 PM: Felipe Hoffa, Developer Advocate at Google and Minhaz Kazi, Developer Advocate at Google Data Studio

~ The Secrets of Scaling Interactive and Insightful Dashboards with Data Studio and BigQuery ~

Large datasets in BigQuery might make it cost prohibitive to scale dashboard solutions. Unless carefully designed, solutions can lead to queries piling up with repeated viewing and result in significant costs in BigQuery. Google Data Studio lets users build interactive shareable data visualizations using their BigQuery data. In this session, we will show the common failure points and how you can build scalable, interactive, insightful dashboards in Data Studio from BigQuery data.

7:15-8:30 PM: Pizza and networking