Data Engineering for Data Scientists
It is always good for a data scientist to understand more about data engineering, especially the blueprint of a fully productionized data platform.
40 Scale Up
Published:
Category: { Data Engineering }
Tags:
References:
- The Data Engineering Cookbook
Summary: scale up your services
Pages: 4
20 Data Processing
Published:
Category: { Data Engineering }
Tags:
References:
- The Data Engineering Cookbook
- Damji JJD. A Tale of Three Apache Spark APIs: RDDs vs DataFrames and Datasets. In: Databricks [Internet]. 14 Jul 2016 [cited 1 Feb 2022]. Available: https://databricks.com/blog/2016/07/14/a-tale-of-three-apache-spark-apis-rdds-dataframes-and-datasets.html
Summary: Processing Data is essential.
Pages: 4
10 Data Storage
Published:
Category: { Data Engineering }
Tags:
References:
- The Data Engineering Cookbook
Summary: Storing big data
Pages: 4
1 Data Engineering for Data Scientists: Checklist
Published:
Category: { Data Engineering }
Tags:
References:
- The Data Engineering Cookbook
Summary: A checklist to get a shallow understanding of the basics and the ecosystem
Pages: 4