Paving the Way for Privacy Engineering with Danielle Beringer from Gretel.ai
Hashmap on Tap Ep. 94
“ESL [Extract, Synthesize, Load] is a term that I’m really hoping takes hold and that people embrace, whether it’s with Gretel or with another organization, to really start getting serious about privacy engineering.”
— Danielle Beringer, Director of Technical Partnerships at Gretel.ai
What exactly is privacy engineering? Who should be thinking about it, and why is it so important? What’s synthetic data, and how can it help teams work with sensitive data sets and PII? How difficult is it to start securely synthesizing and transforming data, and how long will it take to get started?
If you’ve found yourself wondering the answers to any of the above questions, you’ll want to listen to this recent episode of Hashmap on Tap featuring Danielle Beringer, Director of Technical Partnerships at Gretel.ai. Danielle joins the podcast’s host, Kelly Kohlleffel, to open a lively discussion and answer fundamental questions on the emerging topic of privacy engineering.
Sipping a green matcha latte, Danielle candidly describes the start of her career as a software engineer, working with telematics data at Nissan, and embracing the opportunity to switch gears from working at a Fortune 500 company to a startup. She eagerly shares helpful advice and insights on the ways that Gretel is forging the path for privacy engineering as a service, providing education on the foundations of privacy engineering and synthetics data, and tackling the challenges of data sharing and data accessibility.
On tap for this episode: a Green Matcha Latte from Bellocq for Danielle and Pique Tea Crystals — Passion Fruit Green for Kelly.
Listen for Danielle’s perspectives on:
- What’s the inspiration behind Gretel’s name?
- Why privacy by design matters more than ever
- Gretel’s 3-step approach to challenge people to reconsider their data needs and increase data literacy and data awareness
- The three most common “dysfunctional” behaviors that result from a lack of good data accessibility
- Framing the concept of ESL (as opposed to ETL) and what it stands for
- Why Gretel chose to build in the open-source community, the value of customer feedback during their beta, and use cases from different industries
- Gretel’s latest round of funding as they prepare for general availability in early 2022
- Her love for cooking and what recipe she challenged herself to make during the pandemic — watch out, Gordon Ramsay!
Listen to the episode here:
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