How to prepare your data pipeline for machine learning and AI

How to prepare your data pipeline for machine learning and AI

January 9, 2020 Off By Hoofer
Veeam 3 Ultimate Strategies

Frequently, the hardest part of any machine learning (ML)/AI project is getting your data into the right format and the right place because your processes were designed around traditional application development.

Join this on-demand training-based webinar, where Amazon Web Services (AWS) and global market intelligence provider, IDC, will deliver practical guidance to help you prepare a data pipeline that can automate machine learning workflows.

On-Demand attendees will learn how to:

  • Manage your data pipeline, providing your organization access to reliable and well-structured datasets for analytics
  • Make meaningful decisions, faster, with improved data flows
  • Incorporate best practices for building dashboards to query specific data and identify trends when using connected AWS services
  • Leverage partner solutions such as Matillion ETL for Amazon Redshift for loading and transforming your data

Hear from Stewart Bond, Research Director, Data Integration and Integrity Software at IDC and Chris Chapman, Partner Solutions Architect at AWS.