Data Engineering / Инженерия данных / Data Engineer / DWH
前往频道在 Telegram
Data Engineering: ETL / DWH / Data Pipelines based on Open-Source software. Инженерия данных. ✔ DWH / SQL ✔ Airflow / Python / ETL / dbt / Spark ✔ AI Agents Рекламу не размещаю Вопросы: @iv_shamaev | datatalks.ru
显示更多2 694
订阅者
+124 小时
+57 天
+2130 天
帖子存档
What Good Data Product Managers Do – And Why You Probably Need One
https://www.montecarlodata.com/blog-what-good-data-product-managers-do-and-why-you-probably-need-one/
Linux. Книга рецептов (Карла Шрёдер).pdf
Data Algorithms with Spark Recipes and Design Patterns for Scaling Up using PySpark (Mahmoud Parsian).pdf
What is a Data Platform? And How to Build One
In this post:
- What is a data platform?
- The six must-have layers of a modern data platform
- Data Storage and Processing
- Data Ingestion
- Data Transformation and Modeling
- Business Intelligence (BI) and Analytics
- Data Observability
- Data Discovery
- Data platform vs. customer data platform
- Build or buy your 6-layer data platform? It depends.
https://www.montecarlodata.com/blog-what-is-a-data-platform-and-how-to-build-one/
Fundamentals of Data Engineering (Joe Reis and Matt Housley).pdf
2022
This book will help you:
🔨 Assess data engineering problems using an end-to-end data framework of best practices
🔨 Cut through marketing hype when choosing data technologies, architecture, and processes
🔨 Use the data engineering lifecycle to design and build a robust architecture
🔨 Incorporate data governance and security across the data engineering lifecycle
You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology.
