ANT227-S: Preparing data for reporting, ML, and AI on AWS - a podcast by AWS

In today's complex world, everyone is trying to compete using data. The starting point for all reporting, machine learning (ML), and artificial intelligence (AI) tools is high-quality, trusted data drawn from many sources, which is often the biggest pain point for any organization. Data professionals have all the skills necessary to analyze the data but are spending too much time gathering and validating it instead of analyzing it. Join Matillion in this session and learn how ETL jobs can load, cleanse, aggregate filter, and join data in Amazon Redshift or Snowflake to give your reporting, ML, and AI teams a head start. This presentation is brought to you by Matillion, an APN Partner.

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