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data-engineering

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superset
rumbin
rumbin commented Jan 31, 2022

The Mixed Time-Series chart type allows for configuring the title of the primary and the secondary y-axis.
However, while only the title of the primary axis is shown next to the axis, the title of the secondary one is placed at the upper end of the axis where it gets hidden by bar values and zoom controls.

How to reproduce the bug

  1. Create a mixed time-series chart
  2. Configure axi
good first issue #bug validation:validated preset:cares
RowdyHowell
RowdyHowell commented Feb 28, 2022

Hello!

I've found an issue here:[Bitbucket Storage](https://docs.prefect.io/api/latest/storage.html#github) is a storage option that uploads flows to a Bitbucket repository as .py files.

Page reference: https://docs.prefect.io/orchestration/flow_config/storage.html#bitbucket

First, the link is incorrect. Second, should the line read more like Github where it references the repository

good first issue docs
Aylr
Aylr commented Dec 28, 2020

Describe the bug
data docs columns shrink to 1 character width with long query

To Reproduce
Steps to reproduce the behavior:

  1. make a batch from a long query string
  2. run validation
  3. render result to data docs
  4. See screenshot
    <img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4
enhancement help wanted good first issue core-team
natsoule
natsoule commented May 17, 2022

Is your feature request related to a problem? Please describe.
The current Feast online store for GCP implementation requires Firestore in Datastore mode. Firestore can only be in one mode at a time per GCP account. You cannot use native mode for some applications and Datastore mode for others within the same account. Adding a feature store to an existing GCP account that uses native mode wou

kind/feature good first issue priority/p2 Community Contribution Needed
growthbook
aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

  • Updated May 25, 2022
  • Python
lakeFS

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

  • Updated Dec 31, 2021
pmbrull
pmbrull commented Apr 4, 2022

Let's prepare a mixin for interacting with Roles and Policies with the Python client, in case users want to use the API directly.

Do not only have the list, get etc, but also utility methods, such as updating a default role. It should wrap the following logic:

import requests
import json

# Get the ID
data_consumer = requests.get("http://localhost:8585/api/v1/roles/name/DataCo
good first issue client
anks7190
anks7190 commented Jan 27, 2021

Hi ,

I am using some basic functions from pyjanitor such as - clean_names() , collapse_levels() in one of my code which I want to productionise.
And there are limitations on the size of the production code base.
Currently ,if I just look at the requirements.txt for just "pyjanitor" , its huge .
I don't think I require all the dependencies in my code.
How can I remove the unnecessary ones ?

help wanted good first issue available for hacking infrastructure

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