This blog will walk you through the entire data lifecycle of ingesting data from SharePoint and Azure Blob Storage, through the lakehouse pattern, and finally to the reporting stage - all using Microsoft Fabric.
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.
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
In the data engineering field, we must ensure that large datasets are compressed efficiently to save storage space and reduce costs, but we also need to maintain strong query performance. This can be balanced by utilising the VertiParq engine and Delta in Microsoft Fabric.
Read MoreAs data engineers, we face many challenges daily. Data is often distributed across many different sources, and frequently in a wide range of file types with varying levels of data quality. This is where OneLake comes in, described as the OneDrive for data.
Read More