Remove Explainability Remove Linked Data Remove Metadata
article thumbnail

Present and future of data cubes: an European EO perspective

Mlearning.ai

ARCO and 4C’s For state-of-the-art data cubes it is important to emphasize the following term “ARCO” = Analysis-Ready Cloud Optimized ( Stern et al., The meaning of this term is explained below. Upload your data to a server with a storage service able to provide HTTP range requests (e.g. S3 and Zenodo.org). GeoNetwork , STAC).

article thumbnail

Supercharging Your Data Pipeline with Apache Airflow (Part 2)

Heartbeat

You might need to extract the weather and metadata information about the location, after which you will combine both for transformation. In the image, you can see that the extract the weather data and extract metadata information about the location need to run in parallel. This type of execution is shown below.

ETL 52
article thumbnail

An introduction to preparing your own dataset for LLM training

AWS Machine Learning Blog

Common patterns for filtering data include: Filtering on metadata such as the document name or URL. Non-textual elements such as HTML tags and non-UTF-8 characters are typically removed or normalized. The next step is to filter low quality or desirable documents.

LLM 90