Theo McCaieinMet Office Informatics LabYou do youHow next-gen data platforms stop weather and climate scientists from being software engineers and focus on science.Apr 26, 2021Apr 26, 2021
Theo McCaieinMet Office Informatics LabGrey new worldThere is a grey area between open source and proprietary platforms and in here might be the sweet spot for data science platforms.Sep 18, 20202Sep 18, 20202
Theo McCaieinMet Office Informatics LabMet Office and partners offer data and compute platform for COVID-19 researchersMet Office with support from Microsoft and the ERDF offers data and compute for COVID-19 researchersApr 9, 2020Apr 9, 2020
Theo McCaieinMet Office Informatics LabAnalysis ready dataMake your users happy, more productive and less error-prone.Apr 6, 2020Apr 6, 2020
Theo McCaieinMet Office Informatics LabHomespace, the missing as a service?Cloud environments (e.g. Azure ML or AWS SageMaker) are islands of productivity. I would like to unite them into a supercontinent.Dec 9, 2019Dec 9, 2019
Theo McCaieinMet Office Informatics LabOur new Pangeo architectureRe-architecting our Pangeo stack to achieve a ten fold image size reduction, better start up times, improved reproducibility and more.Oct 28, 2019Oct 28, 2019
Theo McCaieinMet Office Informatics LabJupyter Dashboarding — some thoughts on Voila, Panel and DashThere are three main players in the Python dashboarding space, let’s discuss.Jul 26, 20195Jul 26, 20195
Theo McCaieinMet Office Informatics LabHow to (and not to) handle metadata in high momentum datasetsIn my previous article on big and fast moving (high momentum) datasets I discussed ways to efficiently manage the data within huge and…Apr 11, 20193Apr 11, 20193
Theo McCaieinMet Office Informatics LabCreating a data format for high momentum datasetsA change to Zarr that allows prepending, appending and “rolling” of large, fast-moving datasets in an efficient, concurrent and safe…Mar 15, 20191Mar 15, 20191