Tag: databases
364: Peter Zaitsev on Choosing the Right Open Source Database
Peter Zaitsev of Percona discusses with host Nate Black how to choose the right open source database and why you may need multiple databases. Topics include: vendor lock-in and the role of cloud database services, the value of experience, judging what use cases databases are bad at, why there is no free lunch when it […]
SE-Radio Episode 362: Simon Riggs on Advanced Features of PostgreSQL
Simon Riggs, founder and CTO of 2nd Quadrant, discusses the advanced features of the Postgres database, that allow developers to focus on applications whilst the database does the heavy lifting of handling large and diverse quantities of data. Host Simon Crossley spoke with Riggs about advanced SQL, indexes, extensibility and scale; using window functions to […]
SE-Radio Episode 354: Avi Kivity on ScyllaDB
Avi Kivity of Scylladb deep dives into the internals of Scylladb and what makes it a high performant version of Cassandra, a distributed key-value datastore. Host Nishant Suneja spoke with Avi about how Scylla’s shared nothing architecture helps it in “scaling up” on every single node in the cluster. The discussion further goes into Scylla’s […]
SE-Radio Episode 353: Max Neunhoffer on Multi-model databases and ArangoDB
Max Neunhoffer of ArangoDB discusses about multi-model databases in general, and open source ArangoDB, in specific, with show host Nishant Suneja. The discussion starts with comparing multi-model databases with polyglot persistence style modeling, and what are the advantages of one over the other. The discussion further delves into exploring the internals of ArangoDB, a multi […]
SE-Radio Episode 305: Charlie Berger on Predictive Applications
Charlie Berger talks with SE Radio’s Edaena Salinas about predictive applications. What are predictive applications? How are they built? What’s the role of machine learning in predictive applications? The interview explores implementing machine learning algorithms natively in the database, different machine learning algorithms, and how they’re applied. Topics include: machine learning, databases, data architecture, predictive […]
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