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data-science

Welcome to the Advancing Analytics blog. We’re a bunch of data and AI specialists who build modern platforms and make messy data behave.

You'll find a trove of posts and video here, focused on AI and machine learning, data engineering and analytics. Our blogs are all based on what we’re seeing in the real world - with lessons learned from the sharp end of delivery. 

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Recent Blogs

What is Azure Databricks?
Every day this month we will be releasing a new video on Azure Databricks. Today we are...
Creating Your First Databricks Workspace
Every day this month we will be releasing a new video on Azure Databricks. Today we are...
Setting up #WindowsTerminal for Data Science
Hi everyone, Just a short blog to show you how to get the new Windows Terminal set up for a...
Docker for Data Science: Building a Python Machine Learning Model
Welcome to another blog where we look at Machine Learning in Production. This is an ongoing...
Running Jupyter notebooks in a different folder
When doing demos I am frequently asked how do you point you session of Jupyter Notebooks to a...
Docker for Data Science: Building Web Apps
Building a web application and getting it to run in Docker. If you're a data scientist or Data...
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...
Data Science In Production Episode 5: Data Lakes for Data Science
Hey Productionaneers, In this podcast we explore the concept of data lakes. Data lakes are a...
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