We’re pleased to announce that Advancing Analytics and our Data Lakehouse Accelerator, Hydr8, are now part of Databricks’ brand new Brickbuilder Accelerators program.
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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Have you ever wondered about the people behind Databricks’ products and tools? What vision they had for each one? What customer challenges they want to tackle next? Well this is your chance to ask those questions directly! Introducing Ask Databricks - the all-new webinar series we’re hosting!
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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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This blog post will cover the topic of testing data within DBT, focusing on the easiest aspect first - verifying the reliability of the query applied to the data. The author will discuss the importance of defining what is being tested and how this can impact the validity of the data. The other testing questions, more aligned with integration and regression testing, will be saved for another time.
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A round up of all the data engineering focused announcements made during the Data and AI Summit 2022 keynote. Some really exciting enhancements made to existing areas, as well as some great new initiatives to get stuck into.
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After diving in to (and passing!) the Associate Developer for Apache Spark 3.0 exam certification from Databricks, I thought it would be useful to go over some quick points to remember and some potential ‘gotcha’ topics for anyone considering the challenge Part 2.
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After diving in to (and passing!) the Associate Developer for Apache Spark 3.0 exam certification from Databricks, I thought it would be useful to go over some quick points to remember and some potential ‘gotcha’ topics for anyone considering the challenge.
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Writing single JSON File in Databricks using DataFrameWriter API.
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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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