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Posts about Product

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

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Pushing Data Engineering Tasks to Go Faster with New Pushdown Optimization

In the modern data stack, the hard work of data transformation—the “T” in “ELT”—is pushed into powerful cloud data warehouses. But because raw data is everywhere—in files, on-premises relational databases, NoSql Databases, and SaaS applications—it’s not always possible to push the full data transformation workload into your cloud data warehouse.  You need flexibility that doesn’t […]

Mohit Gulati  |  March 23, 2021

Introducing Trifacta Photon Job Execution on All Editions

Agile data transformation requires fast iteration: Assess the current state of your data, transform it to move closer to your desired end state, repeat. Accelerating that interactive loop dramatically accelerates the overall time it takes to build data pipelines. Executing transformations is a major factor in the latency of this loop. Transforming data requires computation, […]

Sean Kandel  |  February 9, 2021

The Hub and Spoke Model: How Trifacta Uses Trifacta for Product Analytics

This blog is a collaboration between Trifacta’s Sr. Product Manager, Cesar Jardim covering the Hub and Director of SaaS Adoption & Enablement, Connor Carreras covering the Spokes. If you are trying to manage data operations in your team, the hub and spoke model may be the right way to go. First introduced as a transportation […]

Cesar Jardim  |  Connor Carreras  |  January 22, 2021

Flow Examples: A Little Help to Start Wrangling

Since its inception, Trifacta has been driven to simplify data preparation or all of the painstaking steps required to clean and prepare data for analytics. And we’re pretty proud of what we’ve come up with: an unparalleled data wrangling experience that leverages machine learning, visualization, and automation to accelerate data preparation for any data-driven initiative. […]

Cesar Jardim  |  January 20, 2021

3 Data-led Companies, 3 Data Warehouses: Why They All Chose Trifacta for Data Preparation

It’s safe to say that 2020 showed us that data warehouses have not only found a new home in the cloud but have cemented their position as the foundation of every organization’s data strategy moving forward. By 2022, Gartner predicts the overwhelming majority of all databases (75%) will be deployed or migrated to a cloud […]

Will Davis  |  January 8, 2021

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Setting Up Data Quality Monitoring For Cloud Dataprep Pipelines

Build a simple, flexible, yet comprehensive Data Quality monitoring solution for your Google Cloud Dataprep by Trifacta pipelines with Cloud Functions, BigQuery and Data Studio Building a Data Quality Dashboard Building a modern data stack to manage analytic pipelines—such as Google Cloud and a BigQuery data warehouse or data lake—has many benefits. One such benefit […]

Victor Coustenoble  |  December 21, 2020

Monitoring Data Quality Trends with Cloud Dataprep and Data Studio

Automatic data quality assessment is a Trifacta user favorite. Who wouldn’t want to give their eyes a rest from combing through data while Trifacta automatically points out possible data flaws? The feature is particularly useful when onboarding or integrating unfamiliar data. With unfamiliar data, it’s not only difficult to tell what errors might be lurking […]

Bertrand Cariou  |  December 17, 2020

Orchestrate Your Data Pipelines on Trifacta Using Plans

Why create a plan? The short answer is to operationalize and automate your data pipelines on Trifacta.

Matt Derda  |  December 8, 2020

Trifacta Launches Google Cloud Dataprep Premium Edition: 5 Reasons Why You Need It

After three years in the market, we’re excited to introduce a new Premium edition of Google Cloud Dataprep by Trifacta. The Premium edition delivers on the requests we’ve heard from our most active customers: enhanced security, increased connectivity, automation capabilities, and a higher level of support and service from our team, to name a few.

Bertrand Cariou  |  September 8, 2020

What Is Data Quality? Data Quality Rules for Dirty Data

Chefs can do magical things with food. They can take a slate of ingredients and weave them together to create dishes that will hit every single taste bud that you have. They can put a smile on your face, set your mouth on fire with incredible spices, or hit that sweet tooth that you yearn […]

Bertrand Cariou  |  September 1, 2020

Collaborative Suggestions – Community Driven Data Preparation

August ’20 Release It’s Friday night and you’re really in the mood for sushi. You’ve already got your pajamas on so you’re not going out, you’re for sure ordering in. But you’ve never had sushi delivered before and you’re not sure what restaurants in your area deliver or even have good sushi. You open Yelp […]

Matt Derda  |  August 21, 2020

Flows 2.0 – A New Flow Creation Experience

New flow visuals Those of you who have been using Trifacta recently may have noticed the option to try out the beta of Trifacta’s next generation of flows. Today we’re making this feature fully available across all editions of Trifacta. Flows 2.0 improve the user experience when working within flow view and enhances the ability […]

Alex Chan  |  August 6, 2020

Plans – The Command Center for Orchestrating Data Pipelines

Trifacta started out as a company focused on creating a new and easy-to-use experience for structuring, cleaning, blending, and aggregating data. Over the years, we saw more and more of our customers using Trifacta not only to clean data, but to deploy data preparation recipes into data pipelines that feed analytics processes, AI workloads and […]

David McNamara  |  May 4, 2020