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  • February ’20 Google Cloud Dataprep Highlights

    This new release of Cloud Dataprep by Trifacta jointly developed with Google brings a whole lot of new... more

      |  February 14, 2020

    Why Cloud-Native Data Preparation is Superior to Desktop Alternatives

    Happy 2020 everyone! A new decade comes with new perspectives. For companies striving to use data to drive... more

      |  February 4, 2020

    Democratization for Speed

    Data Prep Democratization = SPEED The reality for most professionals working on advanced analytics or data... more

      |  January 31, 2020

    January ’20 Wrangler Release Highlight – Job Results in PDF, Report an Issue

    We are starting the new year with two highly requested features from our users! New in the the January ‘20... more

      |  January 29, 2020

    What We Learned from Surveying Over 600 Companies on Transitioning Analytics to the Cloud

    The question is no longer, “Are you planning to move to the cloud?”  It’s “How are you leveraging... more

      |  January 23, 2020
     

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    Is ETL Dead? ETL vs. Data Wrangling in the Cloud

    Is ETL dead? It’s a question that has come up a lot in recent years as organizations modernize their... more

      |  January 21, 2020

    2019: a Year of Innovation with Cloud Dataprep on the Google Cloud

    As we get into the new year, it’s a good time to look back in 2019 and reflect on a productive year of... more

      |  January 18, 2020

    Partnering with Mazars to Bring Data Preparation Into Financial Departments Across France

    Today, we are excited to announce our partnership with Mazars to enhance data quality initiatives with... more

      |  January 16, 2020

    The Top 10 of 2019 – Highlights from a Prolific Year of New Features at Trifacta

    As we start the new year, it’s a good time for reflection on a productive year at Trifacta full of new and... more

      |  January 15, 2020

    Five Tips for Optimizing Self-Service Analytics on Google Cloud Platform: Part Five

    So you’ve decided to transition (at least in part) your data analytics to the cloud. More specifically,... more

      |  January 6, 2020

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    What is Azure Data Lake and How to Refine It with a Modern Data Wrangling Solution

    Microsoft Azure Data Lake is a highly scalable cloud service that allows developers, scientists, business... more

      |  December 31, 2019

    December ’19 Wrangler Release – Rapid Target Fuzzy Match, UI Improvements, Downloadable Profiles

    The December ‘19 Wrangler release brings several new and exciting features to Trifacta’s free product.... more

      |  December 18, 2019

    Five Tips for Optimizing Self-Service Analytics on Google Cloud Platform: Part Four

    So you’ve decided to transition (at least in part) your data analytics to the cloud. More specifically,... more

      |  December 18, 2019

    What’s New For Trifacta On Microsoft Azure

    As the global leader in data wrangling, Trifacta continues to innovate by introducing new capabilities on... more

      |  December 16, 2019

    Feature Highlight: Alerts

    Alerts There are two new Alerts features in the most recent release of Trifacta: Webhooks and Email Alerts.... more

      |  December 9, 2019

    The What, Why, and How of Data Wrangling

    “Life moves pretty fast. If you don’t stop and look around once in a while, you could miss it,” Ferris... more

      |  December 6, 2019

    How Innovative Companies Use Trifacta to Drive Analytics Excellence on AWS

    AWS re:Invent is in full swing at the moment. As an AWS certified Machine Learning Competency and Data &... more

      |  December 4, 2019

    Five Tips for Optimizing Self-Service Analytics on Google Cloud Platform: Part Three

    So you’ve decided to transition (at least in part) your data analytics to the cloud. More specifically,... more

      |  December 2, 2019