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.
Archive
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- November 2020
- October 2020
- September 2020
- July 2020
- June 2020
- May 2020
- April 2020
- February 2020
- November 2019
- October 2019
- September 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- January 2019
- December 2018
- November 2018
If you look at the multitude of different ways that you can build a machine learning model today, you would be right to feel overwhelmed. You can build models in R, Python, ML.net etc. Once you have decided which language to build in, the range of different frameworks only adds to the problem. ONNX simplifies the process.
Read MoreOne of the first of many big announcements at the 2020 Spark and AI Summit was the official release of Koalas 1.0, the pandas API on top of Apache Spark.
This blog will explore how Koalas differs from PySpark.
Read MoreIn this video Terry takes you though the key components of Spark ML. We then build a very basic model demonstrating the key parts, using Kaggle’s Black Friday data to produce a regression model to predict spend on Black Friday.
Read MoreIn this video Terry takes you though DataFrame caching, persist and unpersist. This is vital information you need to know to get the best performance from Spark.
Read MoreIn this video Simon takes you though how write data from a Spark DataFrame to Azure SQL Data Warehouse. While this may sound simple, to get the most from Azure SQL Data Warehouse, you need to be using Polybase to read in data.
Read MoreIn this video Simon takes you though how to begin working with partitioned data in Azure Databricks.
Read MoreIn this video Simon takes you though how to read and write data in various formats. We also look at a deep dive on Parquet.
Read MoreIn this video Simon takes you though how to use the SQL API in Azure Databricks. If you come from a more traditional data analytics background then you will be no stranger to SQL. In this video we explore how to register a temporary table and start querying it with SQL.
Read MoreIn this video Simon takes you though how to join DataFrames in Azure Databricks
Read MoreIn this video Terry takes a look at transformations and Actions in Spark. We discuss how the Catalyst engine works and demo a Spark DAG..
Read MoreIn this video Terry takes you through how to ,make a connection from Azure Databricks to Data Lake Gen 2. We also look at secrets and discuss best practices on how to securely store keys in Azure Databricks.
Read MoreIn this video Terry takes you through how to use Notebook widgets. Widgets allow you to create a parameter driven notebooks which integrates with scheduled jobs and Azure Data Factory. Widgets allow you to create a generic notebook which can solve multiple problems.
Read MoreIn this video Simon takes you though the basics of how to Version Control Notebooks in Git with Azure DevOps. We look at how link a notebook with Azure DevOps, how to see the notebook history and how to commit your changes to Git.
Read MoreData Science in Production. Episode 6: The Global AI Bootcamp with Henk Boelman.
Read MoreIn this video Terry takes you through how to get started with Azure Databricks Notebooks. We look at the notebook service, Databricks optimisations, Magic and how to import a notebook from the Databricks documentation.
Read More