On average, eight out of every ten hours spent on analytics and data science projects goes into discovering, cleaning, and shaping data instead of using that data to find actionable insights. In this webinar, learn how Paxata, an AWS Machine Learning Competency Partner, and Amazon Web Services (AWS) accelerate the data preparation parts of any data-centric projects.
Discover how Paxata Self-Service Data Prep for AWS delivers a visual and intuitive data preparation experience for data analysts, data scientists, and business subject matter experts to help them explore, profile, and transform data for analytics. You’ll hear how Paxata’s built-in machine learning algorithms identify joins, overlaps, and anomalies that clean and match data to accelerate data preparation for analytics projects.
Join our webinar to learn
- Reduce data preparation from 80% of a project’s time to 20%.
- Accelerate data science and analytics projects.
- Leverage built-in machine learning algorithms to clean and shape data for your data science initiatives.