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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This post focuses on Databricks Execution Plans.
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This post focuses on key differences and benefits of Spark and Delta cache.
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An introductory overview to Terraform Databricks Labs provider.
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The Lakehouse approach is gaining momentum, but there are still areas where Lake-based systems need to catch up. Databricks have just launched Databricks SQL Analytics, which provides a rich, interactive workspace for SQL users to query data, build visualisations and interact with the Lakehouse platform.
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Everyone’s talking about Azure Synapse Analytics, but does it sometimes feel like they’re talking about different things? Are you having trouble following where Azure SQL Datawarehouse is these days? In this post, Simon attempts to clarify the marketing message and talk about what’s actually coming and where we should be thinking about using it.
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Microsoft have announced that Azure Synapse Analytics is now in private preview - but just what is available and what is not? In this blog, we shed some light on the new announcements and what you can get your hands on today - and whether you should care!
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The thought of learning Scala fills many with fear, its very name often causes feelings of terror. This suggests it’s either doing something very good, or very bad! The truth is Scala can be used for many things; from a simple web application to complex ML (Machine Learning). Moreover, it unusually fully incorporates two programming paradigms: OOP (Object Orientated Programming) and FP (Functional programming).
In this blog series I will break down some of the barriers and myths hindering mere mortals from learning Scala, and hopefully set some of you on the path to FP enlightenment within your data projects
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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?
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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!
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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.
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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?
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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.
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Advancing Analytics is back from SQLBits. We delivered 10 hours of content in 3 days. Azure Databricks, Deep Learning, DevOps for Data Science.
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This blog looks at the content which will be in the full day training day at SQLBits in Manchester.
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