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Databases, structured data, data stores, etc.
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Practical AI Practical AI #94

Operationalizing ML/AI with MemSQL

A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.

Go Time Go Time #132

The trouble with databases

Databases are tricky, especially at scale. In this episode Mat, Jaana, and Jon discuss different types of databases, the pros and cons of each, along with the many ways developers can have issues with databases. They also explore questions like, “Why are serial IDs problematic?” and “What alternatives are there if we aren’t using serial IDs?” while at it.

Go Time Go Time #108

Graph databases

Mat, Johnny, and Jaana are joined by Francesc Campoy to talk about Graph databases. We ask all the important questions — What are graph databases (and why do we need them)? What advantages do they have over relational databases? Are graph databases better at answering questions you didn’t anticipate? How is data structured? How do queries work? What problems are they good at solving? What problems are they not suitable for? And…since we had Francesc on the hot seat, we asked him about Just for Func and when it’s coming back.

The Changelog The Changelog #350

Boldly going where no data tools have gone before

Computer Scientist Yaw Anokwa joins the show to tell us how Open Data Kit is enabling data collection efforts around the world. From monitoring rainforests to observing elections to tracking outbreaks, ODK has done it all. We hear its origin story, ruminate on why it’s been so successful, learn how the software works, and even answer the question, “are people really using it in space?!” All that and more…

The Changelog The Changelog #322

There and back again (Dgraph's tale)

This week we talk with Manish Jain about Dgraph, graph databases, and licensing and re-licensing woes. Manish is the creator and founder Dgraph and we talked through all the details. We covered what a graph database is, the uses of a graph database, and how and when to choose a graph database over a relational database. We also talked through the hard subject of licensing/re-licensing. In this case, Dgraph has had to change their license a few times to maintain their focus on adoption while respecting the core ideas around what open source really means to developers.

The Changelog The Changelog #292

Elasticsearch and doubling down on "open"

Philipp Krenn joined the show to talk with us about Elasticsearch, the problem it solves, where it came from, and where it’s at today. We discussed the query language, what it can be compared to, whether or not it’s a database replacement or a database complement, Elasticsearch vs Elastic the company.

We also talked about the details behind Elastic’s plan of “doubling down on open” to open up X-Pack, which is open code paid add-on features to Elasticsearch. We discussed the implications of this on their business model, and what changes will take place at the code and license level on GitHub.

The Changelog The Changelog #266

The Future of RethinkDB with Mike Glukhovsky

Mike Glukhovsky joined the show to talk about the future of RethinkDB. Mike was a co-founder of RethinkDB along-side Slava Akhmechet. RethinkDB shutdown a year ago officially on October 5, 2016 — and today we’re talking through all the details with Mike. The shutdown, getting purchased by the CNCF, relicensing, buying back their IP and source code, community and governance, and some specific features that Mike and the rest of the community are excited about.

The Changelog The Changelog #236

GunDB, Venture Backed and Decentralized with Mark Nadal

Mark Nadal joined the show to talk about his hacker story and his venture backed open source datastore project called GunDB — a realtime, decentralized, offline-first, graph database engine. We talked about the details behind this database, how Mark secured funding, why yet another datastore, who’s using the database, how Mark plans to sustain this project through products and services, his thoughts on the RethinkDB postmortem and more.

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