Data Documentation Woes? Here’s a Framework. | by Prukalpa | Mar, 2021 | Towards Data Science
https://towardsdatascience.com/data-documentation-woes-heres-a-framework-6aba8f20626c
https://towardsdatascience.com/data-documentation-woes-heres-a-framework-6aba8f20626c
Medium
Data Documentation Woes? Here’s a Framework.
The principles and steps we used to build a documentation-first culture
How to build a DAG Factory on Airflow | by Axel Furlan | Mar, 2021 | Towards Data Science
https://towardsdatascience.com/how-to-build-a-dag-factory-on-airflow-9a19ab84084c
https://towardsdatascience.com/how-to-build-a-dag-factory-on-airflow-9a19ab84084c
Medium
How to build a DAG Factory on Airflow
A guide to building efficient DAGs with half of the code
The Future of Business Intelligence is Open Source | by Maxime Beauchemin | Mar, 2021 | Medium
https://preset.io/blog/future-of-business-intelligence/
https://preset.io/blog/future-of-business-intelligence/
preset.io
The Future Of Business Intelligence Is Open Source
It's time for the future of business intelligence to go open source, preventing lock in, providing extensibility, and fostering a community for innovation.
The State of Open-Source Data Integration and ETL | by John Lafleur | Towards Data Science
https://airbyte.io/articles/data-engineering-thoughts/the-state-of-open-source-data-integration-and-etl/
https://airbyte.io/articles/data-engineering-thoughts/the-state-of-open-source-data-integration-and-etl/
Airbyte
The State of Open-Source Data Integration and ETL | Airbyte
Open-source data integration started 16 years ago with Talend. Since then, the whole industry has changed. Let's compare the different actors.
Data Catalogs Are Dead; Long Live Data Discovery | by Barr Moses | Towards Data Science
https://towardsdatascience.com/data-catalogs-are-dead-long-live-data-discovery-a0dc8d02bd34
https://towardsdatascience.com/data-catalogs-are-dead-long-live-data-discovery-a0dc8d02bd34
Medium
Data Catalogs Are Dead; Long Live Data Discovery
Why we need to rethink our approach to metadata management and data governance
Solutions Architect Tips — The 5 Types of Architecture Diagrams | by Allen Helton | Mar, 2021 | Better Programming
https://betterprogramming.pub/solutions-architect-tips-the-5-types-of-architecture-diagrams-eb0c11996f9e
https://betterprogramming.pub/solutions-architect-tips-the-5-types-of-architecture-diagrams-eb0c11996f9e
Medium
Solutions Architect Tips — The 5 Types of Architecture Diagrams
The flow, service, persona, infrastructure, and developer diagram
Building a Data Engineering Project in 20 Minutes | by Simon Späti | Geek Culture | Mar, 2021 | Medium
https://www.sspaeti.com/blog/data-engineering-project-in-twenty-minutes/
https://www.sspaeti.com/blog/data-engineering-project-in-twenty-minutes/
ssp.sh
Building a Data Engineering Project in 20 Minutes
You'll learn web-scraping with real-estates, uploading them to S3, Spark and Delta Lake, adding Data Science with Jupyter, ingesting into Druid, visualising with Superset and managing everything with Dagster.
Miro | Dashboard Canvas, Online Whiteboard for Visual Collaboration
https://miro.com/app/board/o9J_kpOMVFA=/
https://miro.com/app/board/o9J_kpOMVFA=/
miro.com
Dashboard Map & Canvas
Фреймворк для создания дашбордов
Сколько ваша зп в рублях в месяц на руки?
Anonymous Poll
13%
До 50 тыс
19%
От 50 до 100
16%
От 100 до 150
4%
От 150 до 180
4%
От 180 до 200
6%
От 200 до 250
9%
Больше 250
29%
См. Ответ
Установка простого приложения (например Superset) в microk8s используя metallb и helm / Хабр
https://habr.com/ru/post/545192/
https://habr.com/ru/post/545192/
Хабр
Установка простого приложения (например Superset) в microk8s используя metallb и helm
Основные идеи поста: Установка Kubernetes приложений это не сложно. Можно использовать легкий Kubernetes у себя на компьютере для быстрого развертывания прилож...
Data_Pipelines_with_Apache_Airflow_by_Bas_P_Harenslak,_Julian_Rutger.pdf
21.4 MB
Data Pipelines with Apache Airflow by Bas P. Harenslak, Julian Rutger de Ruiter
What's inside
Build, test, and deploy Airflow pipelines as DAGs
Automate moving and transforming data
Analyze historical datasets using backfilling
Develop custom components
Set up Airflow in production environments
What's inside
Build, test, and deploy Airflow pipelines as DAGs
Automate moving and transforming data
Analyze historical datasets using backfilling
Develop custom components
Set up Airflow in production environments