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.
As a Customer Success Manager at Alteryx (formerly 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 […]
MoreIf 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 distribution paradigm in the 1950s, its principles can easily be applied to the way data teams are distributed and managed. As many companies do, we at Alteryx […]
MoreThis 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 […]
MoreSince 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 […]
MoreWhat 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 Designer Cloud for cloud data warehouse use cases want to source tables from transactional systems that update with new […]
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