With the term Data Engineer growing exponentially, it can be difficult to pin down what exactly the role is, and where did it come from? This post dissects the history of the data engineer, how it relates to data science and business intelligence and asks the question… is it more than just ETL?Read More
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.
The ETL window is part and parcel of how BI developers build their solutions - but is it an outdated concept? With event-driven processes, it’s fairly straight forward to move past this as a concept!Read More
Advancing Analytics are heading to Seattle in November for the PASS Summit. We will be delivering a full day training day on Azure Databricks - Practical Azure Databricks: Engineering & Warehousing at Scale.Read More
Datawarehousing is a slow, unreactive thing, and it’s missing out on many opportunities because of it. How do you structure your modern data warehouse to react quickly and unlock value within your data, faster?Read More
Docker is a great option for Production Machine Learning. This blog looks at installing Docker on Windows and Mac. We validate the install and check it is running correctly.Read More
Advancing Analytics is back from SQLBits. We delivered 10 hours of content in 3 days. Azure Databricks, Deep Learning, DevOps for Data Science.Read More
This blog looks at the content which will be in the full day training day at SQLBits in Manchester.Read More