Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But more importantly, bad data erodes trust and impedes digital transformation. Extract, transform and load (ETL) tools like AWS Glue bring much needed data functionality. However, there are shortcomings with AWS Glue, leading to a number of challenges and questions.
Join Infostretch to learn how these challenges can be handled by utilizing specific database level functions. In this webinar, we will showcase real-life experiences with such deal-breaking scenarios, and demonstrate how to mitigate these issues without jeopardizing reporting accuracy, compromising on quality, or endlessly waiting for new releases.
Register today to learn:
• Key benefits of ETL tools like AWS Glue
• How to use specific database level functions without jeopardizing quality
• Tips and tricks to produce accurate reports
• How to meet target KPIs for complete business insights