Ong Xuan HongMLOps 03: Feast Feature Store — An In-depth Overview Experimentation and Application in Tabular…Thanks to everyone who joined my sharing session today on Feast Feature Store — An In-depth Overview Experimentation and Application in…Jun 28Jun 28
Ong Xuan HongMLOps 02: Dagster — Seamless Data Pipelines & ML Model Management for Machine Learning EngineersThanks to everyone who joined my sharing session today on Data Ops & MLOps for Machine Learning Engineers! As a Senior Machine Learning…Aug 14, 2023Aug 14, 2023
Ong Xuan HongDataOps 04: DBT (Data Build Tool) an ELT approach for Advanced AnalyticsMay 16, 20231May 16, 20231
Ong Xuan HongDataOps 03: Trino + DBT + Spark — Everything Everywhere All at OnceI choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it. — Bill GatesFeb 22, 20232Feb 22, 20232
Ong Xuan HongDataOps 01: Stream data ingestion with RedpandaIn the article What’s Next for Data Engineering in 2023? 7 Predictions , one of the predictions I agree with is Prediction #6: Data…Feb 11, 2023Feb 11, 2023
Ong Xuan HongMLOps 01: Data testing, why, what and howI used to dislike writing tests, and I wasn’t alone in this sentiment amongst my friends. It just seemed like extra work — doubling our…Feb 5, 2023Feb 5, 2023
Ong Xuan HongWhy should you start a career in the Data Science field with a Data Engineer role?Greetings, dear readers! It’s been quite a while since I last penned down my thoughts in a blog. The realm of data has undergone tremendous…Feb 1, 2023Feb 1, 2023
Ong Xuan HongDataOps 02: Spawn up Apache Spark infrastructure by using DockerWhen working on real data products, we will register an account on cloud providers such as Amazon, Azure, or Google so that we are able to…Jan 28, 20231Jan 28, 20231