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Presenting The Data School, an educational video series for people who work with data

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David McNamara

David McNamara has been at Trifacta for over 3 years, working in Customer Success and then Marketing. David ran user trainings and solved use-cases with customers and now brings product features to market as a Product Marketing Specialist.

Snowflake Data Prep for Data Scientists, Data Analysts and Data Engineers

Snowflake’s unique architecture allows organizations to store a wider variety of data formats and data types, including most SQL data types. The diversity of Snowflake databases and Snowflake types of data opens up new possibilities for creating insight-rich data using a data preparation platform like Trifacta. Whether you use Snowflake as a cloud data warehouse...

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David McNamara  •  September 6, 2020

Data Enrichment in the Cloud – Why Data Marketplaces need Data Prep

These days, we can’t get enough of it–Cloud. Everyone is moving to, or, more precisely, has moved to the cloud for some portion, if not all, of their data analytics. And for good reason. When you need spare compute capacity to do a one-time analytical analysis, you just spin up some servers, run your analytics...

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David McNamara  •  July 29, 2020

The Data School with Professor Joe Hellerstein: The Role of AI in Data Prep

What is AI’s role in the data preparation process? It doesn’t take much more than asking Siri to clean your data to realize that we can’t sit back and let AI take care of all of our data preparation needs. In session 3 of the Data School with Professor Joe Hellerstein, Joe takes a look at how human intelligence, and artificial intelligence, can work together to make data cleaning easy and intuitive.

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David McNamara  •  May 19, 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...

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David McNamara  •  May 4, 2020
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