Over the last weeks, I contributed to multiple LinkedIn Collaborative Articles especially about Data Architecture and Data Integration. These contributions provides critical views on these topics, and were awarded the “Top Voice Badge” by LinkedIn. Feel free to read, like, and share feedback! Also, feel free to follow me on LinkedIn.
What are your best practices for data architecture?
Follow data quality and governance principles
Define business objectives and requirements
What criteria are used to select data integration tools and platforms?
How can you implement data warehousing best practices across domains and platforms?
How can you improve data culture and literacy with data visualization?
What is the best way to translate business user needs into data warehouse requirements?
How does metadata management affect data quality?
Challenges of metadata management
What are the best ways to measure the ROI of a data warehouse project?
What factors make one ETL tool better than another?
Data Transformation and Integration
What are the potential pitfalls of data warehousing architecture?
Data Security and Privacy Risks