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  • Faster, Easier Data Engineering with Ready-to-use Templates

    I work with a lot of data (who doesn’t?) and I need to make it usable and actionable to deliver advanced insights for my applications. I wish I could look at some ready-made examples, especially for common tasks and use cases and follow along. If you are thinking like me, look no further as I […]

    Shyam Srinivasan  |  June 10, 2021

    Got Data? Make it work for you

    There are different paradigms about data being the new oil or data being the new software. However, the key is to make data usable, trustworthy, and valuable to empower intelligent business outcomes. Our goal at Trifacta is to help our customers make informed, data-driven decisions with consumable data through the discipline of data engineering. Trifacta’s […]

    Shyam Srinivasan  |  June 4, 2021

    Trifacta Legend May 2021: Casey Butcher of Rezco Asset Management

    Trifacta Legends is a monthly award series showcasing users who are doing legendary work with data. Are you doing legendary work in Trifacta? Apply to be a Trifacta Legend HERE. Casey Butcher Assistant Dealer at Rezco Asset Management As a trader at Rezco Asset Management, Casey is involved in the execution of trades such as […]

    Matt Derda  |  May 27, 2021

    Tracking Dataprep Metadata and Profile Results with Google Cloud Data Catalog

    Maintain BigQuery data lineage by enriching Google Cloud Data Catalog tags with Dataprep metadata and profiling results Cataloging Dataprep Pipelines Google Cloud Data Catalog is the defacto metadata cataloging solution for your analytics initiatives on Google Cloud. Data Catalog natively and automatically captures BigQuery datasets, tables, and views, which gives you visibility into your data […]

    Victor Coustenoble  |  May 26, 2021

    Data Preparation for the Lakehouse

    The Lakehouse represents a new way of implementing a data architecture. It combines the best benefits of data warehouse and data lake architectures. In particular, a Lakehouse combines the high performance and ease of use of a traditional data warehouse with the flexibility and low cost of a data lake. However, an organization seeking to […]

    Vijay Balasubramaniam  |  May 25, 2021

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    It Takes a Village to Raise a Cloud Analytics Platform

    As a person passionate about technology and working to help customers better deliver on their mission goals, I spend a lot of time thinking about patterns across the myriad of customers I’m fortunate enough to meet and work with on projects. I’m continually learning, assessing and working to understand things and as I come across […]

    Brian Shealey  |  May 13, 2021

    The Road to Data Preparation

    Over the course of my career, I’ve used my fair share of technologies to clean and transform data. I enjoy coding and love SQL. I built ETL pipelines for 10 years. I still use Excel (and Google Sheets) quite often in my product marketing role at Trifacta.  When I first discovered data preparation technologies, I […]

    Bertrand Cariou  |  May 7, 2021

    And the Winner Is…2021 Trifacta Customer Awards Recognize Data Engineering Excellence and Innovation

    Data engineering is a team sport. It takes a broad set of players on the field to unlock the value of data, and requires collaboration, experimentation, and iteration. It’s important to recognize the exemplary players and projects that are working together to use data in groundbreaking new ways to transform their business. And that’s just […]

    Paul Staelin  |  May 6, 2021

    The Value of Data Engineering

    Recently, we announced the industry’s first Data Engineering Cloud at the inaugural Wrangle Summit from Trifacta and Google Cloud. Being the pioneers in the industry with data preparation and data transformation for over a decade, we are in the right place to take it to the next level with data engineering. But why data engineering […]

    Shyam Srinivasan  |  May 5, 2021

    Trifacta’s Partner Databricks Announces GA Launch on Google Cloud

    Today, our partner Databricks announced their GA launch on Google Cloud. We are very excited to have Databricks join Dataprep by Trifacta on Google Cloud Platform Marketplace. This new service will provide a simple, open lakehouse platform for data engineering, data science, analytics, and machine learning with tight integrations to Google Cloud’s analytics solutions. For […]

    Matt Derda  |  May 4, 2021

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    April Legend: Kevin Schaefer of Amway

    Kevin is part of a core team of data engineers/scientists/analysts who have been tasked to design and implement digital transformation at Amway.

    Matt Derda  |  April 29, 2021

    Introducing the New Trifacta Community and Certification Program

    At Trifacta, one of our core values is to start with the end user. Over the past few months we’ve been working tirelessly to bring our users a new Community experience and certification program. I am extremely excited to announce that the new Trifacta Community is live! We want to give you a community experience […]

    Andrew Kane  |  April 27, 2021

    Blazingly fast execution with BigQuery Pushdown for Google Cloud Dataprep

    In the previous blog of this series, we discussed how Trifacta intelligently “pushes-down” the transformation logic to the source database, thereby reducing the overall data load ingested into the application, and significantly improving performance. Now let’s take it to the next level, and talk about what Trifacta can do if the source and destination for […]

    Mohit Gulati  |  April 7, 2021

    Trifacta Partners with Databricks to Deliver Faster ROI on Data Lakehouses

    Today, we’re excited to announce that Trifacta now natively integrates with the Databricks Lakehouse Platform. As a quintessential data lakehouse, the Databricks Lakehouse Platform is streamlined, open, and capable of supporting a wide range of analytics workloads and data types. For those unfamiliar with the term, a “lakehouse” combines elements of both a data lake […]

    Ash Vijayakanthan  |  April 7, 2021

    Which edition of Google Cloud Dataprep by Trifacta would you use?

    We recently announced a new pricing model with multiple editions to enable any organization, be it companies with mature data engineering teams accustomed to managing modern data pipelines or companies with relatively new data engineering teams with little to no experience. We will now dive deep into each edition of the pricing model to help […]

    Bertrand Cariou  |  April 7, 2021

    Connect your Data from Anywhere for Data Engineering

    From the millions of records created each day by enterprises in business applications, to the billions of hourly visits to social media sites, to the trillions of data points collected by IoT sensors and monitoring applications, data is being collected everywhere and at an astonishing pace. It is imperative that we enable connectivity to this […]

    Mohit Gulati  |  April 6, 2021

    Blueprint to Implement a Survey Data Warehouse Solution on Google Cloud

    Designing a new cloud data warehouse on Google Cloud can feel like choice overload. There’s a variety of analytic services to consider that will help build your data pipelines, not to mention the many reporting solutions available for selection. And even after those choices are resolved, how do you integrate all these services? Or design […]

    Bertrand Cariou  |  April 2, 2021

    The Top 3 Big Reveals at Wrangle Summit 2021

    The countdown has begun! We’re at T minus six days to the start of Wrangle Summit 2021, the first-ever conference to focus exclusively on data engineering, on April 7‒9, 2021.  The 3-day agenda is packed with incredible ideas, innovations, and opportunities. The lineup of speakers is unprecedented, including some of the best and brightest minds […]

    Mark Sarbiewski  |  April 1, 2021