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Data Engineering Lifecycle
Storage Fundamentals for Data Engineers
From the storage hierarchy to cloud storage types, what every data engineer needs to know to choose the right solution and interact with it.
Sep 28
•
Erfan Hesami
34
6
7
How to Gather Requirements Effectively as a Data Engineer
A practical guide for data engineers and related roles to apply effective requirements gathering in everyday work
Sep 5
•
Erfan Hesami
35
2
5
What is Data Architecture and why Data Engineers should consider it
Understanding the principles of Data Architecture and their importance
Apr 5
•
Erfan Hesami
54
2
18
Security Fundamentals for Data Engineers
The Role of Security in the Data Engineering Lifecycle
Dec 10, 2024
•
Erfan Hesami
9
4
What Does Data Maturity Mean for Data Engineers?
Understanding How Data Maturity Shapes the Role of the Data Engineer
Nov 16, 2024
•
Erfan Hesami
23
8
From Data to Decisions: A guide to serving insights for maximum impact
Master the final step in data engineering, serving data, to empower stakeholders, drive smarter decisions, and transform insights into action.
Nov 12, 2024
•
Erfan Hesami
10
2
2
The Crucial Midpoint of Data Engineering: Data Transformation
From Raw Data to Gourmet Insights: The Art and Science of Data Transformation
Nov 5, 2024
•
Erfan Hesami
12
1
Data Ingestion: Batch vs. Stream, Which Strategy is Right for You?
Choosing Between Batch and Stream Processing for Optimal Data Pipelines
Oct 29, 2024
•
Erfan Hesami
12
4
6
Thinking Like a Data Engineer Framework
Joe Reis' guide to Developing a Data Engineer Mindset
Oct 24, 2024
•
Erfan Hesami
16
2
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