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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.

Data Preparation Best Practices for Snowflake Data Warehouses

Snowflake is a platform known for their separation of storage and compute, which makes scaling data more efficient. However, to get the most value from your investment in Snowflake’s Cloud Data Warehouse, your organization must break through the biggest bottleneck to analytics and AI: data preparation. Here are five data preparation best practices your organization […]

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David McNamara  •  November 4, 2020

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 Designer Cloud. Whether you use Snowflake as a cloud data […]

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David McNamara  •  September 6, 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 (acquired by Alteryx) 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 Designer Cloud not only to clean data, but to deploy data preparation recipes into data pipelines that feed analytics […]

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David McNamara  •  May 4, 2020
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