DC_THURS on Feature Engineering

(43:21)

DC_THURS on Data Monitoring

(52:6)

DC_THURS on Trino

(55:6)

DC_THURS on Active Learning and ML w/ Jennifer Prendki

(54:23)

DC_THURS on Data Reliability w/ Barr Moses (Monte Carlo)

(52:20)

DC_THURS on Data Monitoring w/ Tom Baeyens (Soda Data)

(43:16)

DC_THURS on CDP Design Decisions

(48:45)

DC_THURS on the Evolution of Pinot

(47:4)

DC_THURS on Data Orchestration w/ Nick Schrock (Elementl)

(56:26)

Scalable and Reliable Logging at Pinterest (DataEngConf SF16)

(56:52)

CockroachDB: Architecture of a Geo-Distributed SQL Database | Cockroach Labs

(37:42)

Functional Data Engineering - A Set of Best Practices | Lyft

(39:43)

Data Quality and Reliability with Soda Core - Vijay Kiran

(1:30:59)

GopherFest 2015: Rob Pike on the move from C to Go in the toolchain

(32:53)

7 common mistakes in Go and when to avoid them by Steve Francia (Docker)

(27:58)

You Should Be Using Automatic Differentiation

(29:20)

Running Apache Airflow Reliably with Kubernetes | Astronomer

(37:30)

Observability vs. APM vs. Monitoring

(9:41)

Why You Shouldn’t Care About Iceberg | Tabular

(20:26)

DC_THURS on How to Sync Data With Your SaaS w/ Brad Buda

(54:41)

DC_THURS on Great Expectations w/ James Campbell

(56:20)

DC_THURS on Federated Learning w/ Nathalie Baracaldo (IBM)

(52:51)

DC_THURS on Building Pipelines for Data Science w/ Rick Lamers (Orchest)

(55:11)

DC_THURS on Data Lineage w/ Julien LeDem (Datakin)

(56:35)

DC_THURS on ML Model Testing

(47:5)

DC_THURS on Privacy-Safe Data Engineering Workflows w/ Graham Thompson

(53:36)

DC_THURS on Customer Data Infrastructure

(43:26)

DC_THURS on Open Cloud Lake House w/ Ori Rafael (Upsolver)

(46:24)

DC_THURS on Operational AI for the Modern Data Stack w/ Tristan Zajonc (Continual)

(55:19)