PinnedEnd-to-End Machine Learning on Google Cloud with Dataflow and BigQuery Using Open DataIntroductionSep 14Sep 14
PinnedUnderstanding Cost Functions and Their Role in Measuring the Accuracy of Machine Learning ModelsIn the world of machine learning, the accuracy of a model is important. But how do we quantify how well a model performs? This is where the…Sep 1Sep 1
PinnedPublished inThe StartupSupervised and Unsupervised LearningWhat is machine learning?Jan 31, 2021Jan 31, 2021
Advanced Data Caching Techniques for High-Performance SystemsWhen it comes to building high-performance systems, caching is one of the most powerful tools in a data engineer’s arsenal. The idea is…Nov 13Nov 13
5 Common Data Engineering Pitfalls and How to Avoid ThemWorking as a data engineer is like playing an endless game of Jenga: you’re always trying to build a stable, scalable data system while…Nov 13Nov 13
Why Data Lakes and Warehouses Aren’t as Scary as They SoundIf you’ve ever found yourself confused by terms like data lakes and data warehouses, you’re not alone. When I first entered the world of…Nov 13Nov 13
When I first got into data engineering, the idea of transforming raw, messy data into something…ETL, or Extract, Transform, Load, might sound like a mouthful, but it’s a simple concept at heart. Let me walk you through the basics, and…Nov 13Nov 13
Data is the new oil, but just like crude oil, raw data needs to be refined before it becomes truly…In this guide, we’ll walk through the basics of ETL, why it’s important, and how ETL tools make the process easier. By the end, you’ll…Nov 7Nov 7
Concurrency and Consistency, Juggling Multiple Users Without Missing a BeatImagine a bustling coffee shop at peak hours. Orders are flying in, baristas are juggling multiple drinks, and customers are waiting…Nov 7Nov 7
If you’ve worked with data — or even just dipped your toes in — you’ve likely come across the…In this article, we’ll break down what ETL and ELT mean, how they work, and when to use each method.Nov 5Nov 5
