GoDataDriven Open Source Contribution: February 2017 Edition
At GoDataDriven we have an Open Source First approach. Unless some shockingly good reasons exists, we always advise to use (and implement) open source solutions.
It is therefore only natural that we have the tendency to give back to the open source community. Some of these efforts have a good visibility (such as Divolte), while other remain in the shadow.
I therefore thought that I can start to change that by publishing, every once in a while, the various contributions to open source projects, both old and new.
- In Druid PR 3481 he fixed the INFO message logs;
- In Docker-Druid PR 30 he expanded on the logging section in the README;
- In Airflow PR 2038 he resolved session leakage;
- In Airflow PR 2042 (still open) he added a spark-submit operator/hook;
- In Flink PR 3077 he implemented Stochastic Outlier Selection (!);
- In Flink PR 3081 he cleaned up the Flink Machine Learning library (!!).
Next up is Vincent who create a whole new project, Kadro which is a friendly pandas wrapper with a more composable grammar support. The goal of the library is to have a minimal wrapper that allows most of all dataframe operations to be more expressive by being chainable.
That's all for the first edition. As always, we're hiring Data Scientists and Data Engineers. Head up to our career page if you're interested. You get plenty of opportunities to give back to the community.
GoDataDriven Open Source Contribution: March 2017 Edition
March 08, 2017
Using Druid With a Continuous Integration Pipeline
March 05, 2017
How to Start a Data Science Project in Python
March 01, 2017
Facebook's Prophet: Forecasting Stores Transactions
February 25, 2017
BI Platform Interviews Giovanni Lanzani
February 16, 2017
Import Partitioned Google Analytics Data in Hive Using Parquet
February 14, 2017