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Connor Carreras

Connor Carreras is the Director of Solutions Engineering at Trifacta, where she has worked with RBS to utilize cutting-edge data wrangling techniques in support of the bank’s Big Data initiative. Connor brings her prior experience in the data integration space to help customers understand how to adopt self-service data preparation as part of an analytics process. In her spare time, Connor enjoys playing tennis, skiing, and exploring San Francisco.

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 […]

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Connor Carreras  •  January 22, 2021

4 Key Steps for a Data Sanity Check

As a Customer Success Manager at Trifacta, I spend most of my time helping our customers wrangle their raw, big data into business insights. On these data wrangling projects, it’s tempting to jump straight into the most interesting problems but to produce the most accurate results, we should start by performing a set of basic […]

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Connor Carreras  •  November 17, 2020

How to Automatically Deploy a Google Cloud Dataprep Pipeline Between Workspaces

This article explains how to use Cloud Composer to automate Cloud Dataprep flow migration between two workspaces. This process can be leveraged for your Cloud Data Warehouse project to move from development, test, and production following what is known as Continuous Integration and Continuous Delivery (CI/CD) pipeline in agile development. At a high level, this […]

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Connor Carreras  •  November 12, 2020

How to Extend Cloud Dataprep by Using BigQuery Javascript UDFs

Since Trifacta is a data company, we try to be as data-driven as possible. This means that product usage data analysis informs many of our product, sales, and marketing decisions. Our team has built our usage data pipeline entirely in GCP, so we can use both our own technology (Google Cloud Dataprep) and native GCP […]

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Connor Carreras  •  October 12, 2020

Performing an Incremental Load to Cloud Data with Trifacta

What is data loading? Data loading—including full loads and incremental data loads—is the process of copying and moving data from a source file into a database or a similar warehouse. Most of our customers who use Trifacta for cloud data warehouse use cases want to source tables from transactional systems that update with new records […]

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Connor Carreras  •  August 20, 2020

Meet the Trifacta Data Wrangling Success Team

Trifacta has always been focused on the user experience; connecting people to data is a core part of our company’s DNA. Every team in Trifacta, from engineering to marketing, cares deeply about the human aspect of data wrangling. But the team that pays the most attention to making data wrangling easy (and fun!) is the […]

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Connor Carreras  •  September 4, 2015
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