How to quickly deliver data to business users? #1. Adv Data types & Schema evolution
- 1. Introduction
- 2. Use Schema evolution & advanced data types to quickly deliver new columns to the end-user
- ...
Similar Articles (10 found)
🔍 74.6% similar
Data Engineering Best Practices - #1. Data flow & Code
- 1. Introduction
- 2. Sample project
- 3. Best practices
- 3.1. Use standard patterns that pro...
🔍 74.3% similar
How to Manage Upstream Schema Changes in Data Driven Fast Moving Company
- 1. Introduction
- 2.Strategies for data teams to handle changing schemas
- ...
🔍 72.1% similar
How to improve at SQL as a data engineer
- 1. Introduction
- 2. SQL skills
- 3. Practice
- 4. Conclusion
- 5. Further reading
- 6. References
1. Intro...
🔍 69.9% similar
Data Engineering Interview Preparation Series #2: System Design
- 1. Introduction
- 2. Guide the interviewer through the process
- 2.1. [Requirements ...
🔍 69.7% similar
Over the past year, I’ve been writing about several back-to-the-basics topics, like extracting data via APIs and SFTP, and building solid data models....
🔍 67.9% similar
How to build a data project with step-by-step instructions
- 1. Introduction
- 2. Setup
- 3. Parts of data engineering
- 3.1. Requirements
- 3.2. Iden...
🔍 67.1% similar
Hi, fellow future and current Data Leaders; Ben here 👋
I recently was skimming the data engineering subreddit and came across a post with a title that...
🔍 66.7% similar
How to create an SCD2 Table using MERGE INTO with Spark & Iceberg
- 1. Introduction
- 2. MERGE INTO is used to UPDATE/DELETE/INSERT rows into a target...
🔍 66.6% similar
Should Data Pipelines in Python be Function based or Object-Oriented (OOP)?
- 1. Introduction
- 2. Data transformations as functions lead to maintaina...
🔍 66.5% similar
How to use nested data types effectively in SQL
- 1. Introduction
- 2. Code & Data
- 3. Using nested data types effectively
- 4. Conclusion
- 5. Conti...