How to Manage Upstream Schema Changes in Data Driven Fast Moving Company
- 1. Introduction
- 2.Strategies for data teams to handle changing schemas
- 3. Conclusion
- 4. Recommended reading
1. Introduc...
Similar Articles (10 found)
π 74.3% similar
How to quickly deliver data to business users? #1. Adv Data types & Schema evolution
- 1. Introduction
- 2. Use Schema evolution & advanced data types...
π 68.0% similar
Data Engineering Best Practices - #1. Data flow & Code
- 1. Introduction
- 2. Sample project
- 3. Best practices
- 3.1. Use standard patterns that pro...
π 66.6% similar
Youβve done it!
Youβve built your first data pipeline. Maybe youβre a junior data engineer. Maybe youβre a data analyst shipping your first pipeline i...
π 66.0% similar
Hi, fellow future and current Data Leaders; Ben here π
I recently was skimming the data engineering subreddit and came across a post with a title that...
π 65.6% similar
How to Scale Your Data Pipelines
- 1. Introduction
- 2. What is scaling & why do we need it?
- 3. Types of scaling
- 4. Choose your scaling strategy
-...
π 65.4% similar
How to gather requirements for your data project
1. Introduction
Data engineers are often caught off guard by undefined end-user assumptions. As a dat...
π 65.3% similar
Hi, fellow future and current Data Leaders; Ben here π
Today I wanted to talk about Iceberg. Iβve been seeing a lot about it recently. Everyone wants ...
π 63.7% similar
Understand & Deliver on Your Data Engineering Task
- 1. Introduction
- 2. Understanding your data engineering task
- 3. Delivering your data engineeri...
π 62.9% similar
Data Engineering Projects
1. Introduction
Whether you are new to data engineering or have been in the data field for a few years, one of the most chal...
π 62.8% similar
6 Steps to Avoid Messy Data in Your Warehouse
- 1. Introduction
- 2. Six Steps for a Clean Data Warehouse
- 2.1. Understand the business
- 2.2. Make d...