How to navigate the challenges of the data modeling process
By Ryohei Fujimaki, dotData CEO and Founder
Data quality and the amount of effort required to address data quality issues are usually the biggest challenges in this area, said Ryohei Fujimaki, founder and CEO of dotData, a data science automation platform.
“The traditional process to deal with data quality involves a lot of hard-coded business logic, which makes the data pipeline very difficult to maintain and to scale,” he said.
Click here to read the full article in TechTarget’s SearchDataManagement which features Ryohei Fujimaki, dotData CEO and founder.