Client for Updating a Simple Data Warehouse on Blob Storage
Project description
datablob
Client for Updating a Simple Data Warehouse on Blob Storage
design philosophy
- optimize for simplicity and user friendliness
- storage is cheap (compared to compute)
- pre-compute as much as possible
- should work out of the box
- advanced configuration should be opt-in
- explicit is better than implicit
- straightforwardness over magic
install
pip install datablob
supported formats
- csv
- geojson points
- json
usage
More examples coming soon
from datablob import DataBlobClient
client = DataBlobClient(bucket_name="example-test-bucket-123", bucket_path="prefix/to/dataportal")
client.update_dataset(name="fleet", version="2", data=rows)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
datablob-0.1.0.tar.gz
(5.9 kB
view details)
File details
Details for the file datablob-0.1.0.tar.gz.
File metadata
- Download URL: datablob-0.1.0.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
161668b7c78296cc05d069de7101d3667d7d7eec2c5611bbe47d89671b1b7454
|
|
| MD5 |
6904c004925395ec0e74c478624ab689
|
|
| BLAKE2b-256 |
3771cadcf7d2f1fd3a33fed56d86a74717c9c2f02b66a5524fd8cc2ed08276c5
|