Founder @ DQOps open-source Data Quality platform | Detect any data quality issue and watch for new issues with Data Observability
Are you eager to use a new technology in your data stack? Hold on, do you know what you want to achieve with it? What value will it bring? Is there any problem that you want to resolve? If you know that, always gather requirements, identify all stakeholders who will benefit from that technology, and do a proof-of-concept. After the PoC, always review the results and verify if your goals were met. Do not jump to a new technology instantly. You have to touch it, smell it, play with it, and experiment. A 14-day trial period may not be enough. Why am I writing this? Check out my website. I have built an open-source data quality platform because I believe in honesty. Check out the code and try it locally. #dataquality #dataengineering #datagovernance
Abdur Rahman
4mo
Cheers for this, Piotr! Quick tech decisions have backfired on me before too. Keen to see what your platform’s all about!
Senior Solutions Architect at Lingaro
4moI would make This adoption arrow as iterative cycle, and rollout tech to new business areas / domain always learning from past integrations.