With a world wide industry market cap of $7.1 trillion and substantial investments totalling $22.3 billion, let’s delve into the basics around GraphQL and why you should be including it in your infrastructure.
Read MoreThanks 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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Databricks Unity Catalog (UC) has gained significant attention lately, with Databricks making huge investments and shifting to make it the default choice for all new Databricks accounts. But what does that mean and how will it affect you?
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The term “aggregate” can be somewhat ambiguous and is sometimes mis-interpreted by data professionals. Find out when you should be aggregating your data versus whether you should be aggregating your data.
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Recently, I had the opportunity to explore the Databricks SQL extension for VSCode, and I was thoroughly impressed. With its user-friendly interface, robust features, and seamless integration with Databricks, this extension is the ideal solution for querying your Databricks Lakehouse outside of the Databricks ecosystem.
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Databricks SQL is a powerful tool for querying and analysing data in Databricks Lakehouse. It empowers data analysts and engineers that are familiar with SQL, to extract insights without the need for complex code, thereby streamlining and speeding up the data analysis process.
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Amid the plethora of announcements coming out of the DATA + AI Summit a few weeks back, there was a distinct message from Databricks on the importance of data sharing.
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Building upon Azure Databricks, I'll move from the compute engine to data storage. Things are a little simpler to secure but the plethora of options available can have significant impacts on usability and cost
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Reference architectures are great but how do you secure your new Data Lakehouse platform enough to make InfoSec happy? Let’s dive into design patterns for securing Databricks
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Reference architectures are great but how do you secure your new Data Lakehouse platform enough to make InfoSec happy?
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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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The Windows Terminal has dropped. In this short blog we look at how easy it is to add the Anaconda Prompt as a Terminal
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On a recent training course we were asked 60 great questions. I an hoping that they may help others. We have re-worded them and answered each in more detail. This is part 6 or 6.
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On a recent training course we were asked 60 great questions. I an hoping that they may help others. We have re-worded them and answered each in more detail. This is part 5 or 6.
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On a recent training course we were asked 60 great questions. I an hoping that they may help others. We have re-worded them and answered each in more detail. This is part 4 or 6.
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On a recent training course we were asked 60 great questions. I an hoping that they may help others. We have re-worded them and answered each in more detail. This is part 3 or 6.
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