Monday Apr 29
11:30 AM –
12:20 PM
327
The Rise of Multi-model Databases
Nowadays, you must handle many types, structures and data formats in your organizations - JSON, graph, spatial, series, relational etc. - supporting a variety of use cases and workloads. Multi-model databases seem to be the next natural step in the evolution of databases.
First used in 2012 by Luca Garulli, the term "multi-model" describes an approach designed to support multiple data models against a single, integrated backend and was considered as a response to the Martin Fowler's "polyglot persistence" approach.
In this talk, we will look at the database landscape evolution including two multi-model databases examples: one built from ground up, and an extended RDBMS.
This talks is from our partner.
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Role of Application Integration in Cloud Native and Microservices LandscapeKasun IndrasiriTuesday Apr 30 @ 11:30 AM
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The Proactive Approach: Data Driven Observability & Incident ResponseMatt StrattonPJ HagertyMonday Apr 29 @ 5:30 PM
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Serverless is the Abstraction We DeserveJesse ButlerMonday Apr 29 @ 3:10 PM
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Observability, Distributed Tracing & the Complex WorldDave McAllisterMonday Apr 29 @ 4:20 PM
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What Does THIS Button Do? Serverless and IoTEric JohnsonMonday Apr 29 @ 10:20 AM
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Supersonic, Subatomic Eclipse MicroProfileScott M StarkMonday Apr 29 @ 3:10 PM
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Robot DJs: Better Spotify Playlists through Music Theory and Discrete OptimizationCedric HurstMonday Apr 29 @ 4:20 PM
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Data-Driven EngineeringAndy CirilloMonday Apr 29 @ 5:30 PM
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The Rise of Multi-model DatabasesAbdel DadoucheMonday Apr 29 @ 11:30 AM
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Deliver Results, Not Just Releases: Control & Observability in CDDave KarowTuesday Apr 30 @ 4:20 PM