How to Streamline DataOps on AWS

The quest for the insight-driven enterprise has spurned a mass exodus to the cloud. But cloud data ecosystems can be very complex with multiple data storage and processing options. Most organizations are struggling with how to accelerate analytics in their data lake environments. For example, many organizations are struggling to figure out how to manage data across all the services offered by Amazon Web Services. Data can be stored and analyzed in a variety of different AWS services including Amazon Redshift, EMR, and S3 with Athena.

Modern data preparation platforms bring the discipline of DataOps to complex cloud environments. Data provisioning, self-service, and intelligent data preparation powered by machine learning are enabling agile methodologies that had previously been relegated to application development.

Join leading IT analyst firm Enterprise Management Associates (EMA), Trifacta, and Amazon Web Services (AWS) for a webinar that will help you:

  • Understand technology trends that simplify your analytics modernization journey
  • Learn best practices to operationalize data management on AWS
  • Establish operational excellence leveraging AWS data storage and processing
  • Accelerate time-to-value for analytics projects with data preparation on AWS