Community Conversations Franck Leveneur

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Franck Leveneur, DBA at Hulu, joins Domenic Ravita for this Community Conversation. Franck has more than 20 years of experience as a frontend developer, database architect and administrator. He has broad experience across a wide variety of databases including Microsoft SQL Server, #MySQL, #Oracle, #RDS, #Snowflake and #MemSQL and with supporting technologies such as AWS EC2, #Alooma, #Kafka and #Hadoop. This discussion covers Franck’s guidance for selecting a database based on application workloads, the importance of proper schema design, and the value of the MemSQL Community.

0:00:00 – Introduction
0:00:19 – Quiz
0:00:57 – Franck’s passions for data, soccer & wine
0:03:19 – From frontend developer to data architect
0:05:27 – Developing the #DataManagement curriculum for UCLA Anderson School of Management
0:06:54 – How to evaluate new technologies
0:08:57 – Form follows choosing the right database
0:11:55 – Designing for growth, flexibility, and schema evolution
0:13:33 – MemSQL’s auto-sharding and independent scaling of concurrency and data
0:15:21 – Augmenting Amazon #RDS for MySQL by using MemSQL for fast analytics
0:17:54 – Migrating caching and #Redis key-value lookup workloads to MemSQL
0:19:10 – Lagtime of replicas with #MySQL
0:20:46 – Real-time #geospatial queries and #API serving with MemSQL
0:21:36 – Explaining replication in #Amazon RDS for #MySQL and MemSQL’s advantage
0:25:39 – Comparing #AWS #RedShift to MemSQL
0:27:49 – Dimensional modeling for the data warehouse with The Kimball Method
0:31:29 – Renaissance of data modeling literacy
0:33:35 – Adoption of #microservices
0:35:12 – Predictable response times are everything
0:38:50 – Zero downtime for modern cloud applications with MemSQL
0:42:55 – Listening to the MemSQL Community
0:44:07 – Unique capabilities of MemSQL and its great docs
0:46:15 – Discussions in the MemSQL Forum on schema design
0:48:25 – Tips for new MemSQL Community members
0:52:30 – Wrap-up

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