Trifacta Legends Hall of Fame

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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.

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 […]


Connor Carreras  •  October 12, 2020

How to perform an incremental load to your cloud data warehouse using Trifacta

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 on a daily or weekly cadence. However, performing full loads of these systems to the data warehouse often leads to continually growing data volumes and increasingly long processing times. In […]


Connor Carreras  •  August 20, 2020

4 Key Steps to Sanity Checking Your Data

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 […]


Connor Carreras  •  November 17, 2015

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 […]


Connor Carreras  •  September 4, 2015
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