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title: Best Data Engineer Things posts — January 2025 | daily.dev
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# Best of Data Engineer Things — January 2025

1. 1  
[](https://daily.dev/posts/end-to-end-data-engineering-kdtec3ugx "End to End Data Engineering")  
Article  
![Avatar of detlife](https://media.daily.dev/image/upload/s--8lmPEq7G--/f_auto/v1725038518/logos/detlife)Data Engineer Things · 2y  
End to End Data Engineering  
This post details the tools, technologies, and concepts essential for data engineering, emphasizing different paths for success based on roles and backgrounds. It highlights the importance of both analytics and infrastructure sides and mentions popular tools like Airflow and Snowflake. The significance of software engineering principles and specific data engineering roles is also discussed.  
161  
1
2. 2  
[](https://daily.dev/posts/apache-airflow-overview-aqfsncey5 "Apache Airflow Overview")  
Article  
![Avatar of detlife](https://media.daily.dev/image/upload/s--8lmPEq7G--/f_auto/v1725038518/logos/detlife)Data Engineer Things · 2y  
Apache Airflow Overview  
Apache Airflow, created at Airbnb in 2014 and now an open-source project under Apache, is a popular orchestration tool for managing complex data workflows. It operates using Directed Acyclic Graphs (DAGs) to define tasks and their dependencies. Core components include the Scheduler, Web Server, Metadata Database, and Workers. Airflow supports task concurrency, resource management, and integrations with external systems via operators and hooks. It offers various executors for task management, including SequentialExecutor, LocalExecutor, CeleryExecutor, and KubernetesExecutor. Deployment options range from single-machine setups to distributed and Kubernetes-based environments.  
69
3. 3  
[](https://daily.dev/posts/i-spent-6-hours-learning-aws-glue-here-is-what-i-found-fq5ioyj35 "I spent 6 hours learning AWS Glue. Here is what I found")  
Article  
![Avatar of detlife](https://media.daily.dev/image/upload/s--8lmPEq7G--/f_auto/v1725038518/logos/detlife)Data Engineer Things · 2y  
I spent 6 hours learning AWS Glue. Here is what I found  
AWS Glue is a serverless data integration service that simplifies and automates the ETL process, enabling users to integrate data from various sources, preprocess and transform it, and make it available for analytics. It seamlessly integrates with AWS services like S3, Redshift, and Athena and supports cost-effective and scalable data processing. Key components include Glue Studio, Glue ETL Library with DynamicFrames, and serverless execution with auto-scaling. The Glue Data Catalog acts as a central repository for metadata, facilitating efficient data discovery and management.  
56  
1
4. 4  
[](https://daily.dev/posts/why-i-love-python-as-data-engineer-clvvos9pf "Why I Love Python as Data Engineer")  
Article  
![Avatar of detlife](https://media.daily.dev/image/upload/s--8lmPEq7G--/f_auto/v1725038518/logos/detlife)Data Engineer Things · 2y  
Why I Love Python as Data Engineer  
Python is favored by data engineers for its versatility, simplicity, and rich library ecosystem. It excels in both small and large-scale data tasks, making data manipulation and automation easier. Despite some limitations like slower execution speed and memory consumption, its readable code and efficient debugging make it a preferred choice for many. Python integrates well with tools like Apache Spark and libraries for data visualization, adding to its appeal.  
20

[See all Data Engineer Things archives](/sources/detlife/best-of)

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