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Thanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.

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Recent Blogs

Stop Wasting Time on Databricks Deployments: Master Asset Bundles...
In the fast-paced world of data engineering, efficiency and coherence are paramount....
Fake It Till You Make It: Generate Fake Data Quickly with Faker
Why Fake Data is Useful for Data Engineers One thing that is sometimes really difficult as a...
Up your CI/CD game with Databricks Asset Bundles and Automated Testing
Why should I care about automated testing? Automated testing is one of the most impactful...
How to Achieve Perfect Sprint Planning
This title is a misnomer as perfection is a fallacy, and there’s no such thing as perfect. So...
DevOps for Databricks: Getting Started
As a consultant and Data Engineer I’ve lost count of the number of times I’ve been asked “how...
Docker for Data Science: Getting Started & Installing Docker
In the last Docker for Data Science blog we looked at where Docker came from and why it is...
Docker for Data Science: Docker Fundamentals
Why do we need Docker? I have worked in software development for a while and in that time I...
Comparing deployment options for Machine Learning Models in Azure
Last week I delivered a training session on how to deploy machine learning models in Azure. We...
Why DataOps and not just DevOps?
“Data goes in to production faster than code ” — Me In a lot of my recent blogs and in the...
7 Signs that you need a Machine Learning Engineer
When DJ Patil said that Data Science was the sexiest job of the 21st century, many companies...
Vector (45)
Vector (46) dise