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Valuable analysis or machine learning requires high quality data. To get the most out of your data on Amazon Redshift, you need a platform that empowers analysts to explore and prepare data using an intuitive interface that combines visual guidance with machine learning driven suggestions. With Wrangler Pro, your team can prepare data for Amazon Redshift at scale, schedule workflows and share work with colleagues within a managed cloud platform. Users can natively access data in S3 or Redshift without any data movement.

We’re offering a trial so you and your team can get a head start on your use case with the full capabilities of our cloud-based platform – for free.

 

Sign up and get a free evaluation by our team of wrangling experts. If you qualify, you will receive:

  • 100 Trifacta compute units in your trial of Trifacta

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Setup Guide

*Please note that the Wrangler Pro trial environment is architected to support large-scale data leveraging Amazon EMR for processing and requires a couple of minutes for Spark jobs to compile before executing.

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Supplemental Terms and conditions:
In addition to the Trifacta Wrangler Pro License Agreement which must be agreed to in Wrangler Pro in order to use the Wrangler Pro Trifacta Software, the following Supplemental Terms and Conditions apply.
All applicants for the Wrangler Pro for Amazon Redshift trial must complete all portions of the application and are subject to approval by Trifacta in its sole discretion and may not be current or former customers of Trifacta’s products. Each approved applicant will be entitled to use up to 100 compute units for up to five of its employees of Trifacta Wrangler Pro without charge. The trial will end on July 31, 2019 provided that Trifacta reserves the right to end or modify the trial at any time in its sole discretion.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""