Ep. 176 Revolutionizing Data Transformation at Dataworkz with Nikhil Smotra

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This is a podcast episode titled, Ep. 176 Revolutionizing Data Transformation at Dataworkz with Nikhil Smotra. The summary for this episode is: This week on the MongoDB Podcast, we interview Nikhil Smotra at .local Live NYC. Nikhil explains how Dataworkz combines AI, data integration, and transformation to simplify customer profiling. He also discusses how Dataworkz uses MongoDB's flexible data model for language models for seamless data handling. Listen for:<ul><li>[01:04 - 01:32] What Dataworks is about</li><li>[01:44 - 02:42] What Dataworkz is doing differently</li><li>[03:27 - 05:08] Simplifying a Customer 360</li><li>[05:33 - 07:16] How MongoDB and Dataworkz work together</li><li>[10:37 - 12:08] What Nikhil would build as a developer</li><li>[12:32 - 14:47] Reducing the friction between data consumers and data producers</li><li>[15:39 - 18:39] What you need to know about Dataworkz</li></ul>

Key Takeaways

What Dataworks is about

00:27 MIN

What Dataworkz is doing differently

00:57 MIN

Simplifying a Customer 360

01:40 MIN

How MongoDB and Dataworkz work together

01:42 MIN

What Nikhil would build as a developer

01:30 MIN

Reducing the friction between data consumers and data producers

02:15 MIN

What you need to know about Dataworkz

02:59 MIN

DESCRIPTION

This week on the MongoDB Podcast, we interview Nikhil Smotra at .local Live NYC. Nikhil explains how Dataworkz combines AI, data integration, and transformation to simplify customer profiling. He also discusses how Dataworkz uses MongoDB's flexible data model for language models for seamless data handling.

Today's Host

Shane McAllister

|Lead, Developer Advocacy

Michael Lynn

|Principal Developer Advocate

Today's Guests

Nikhil Smotra

|Co-Founder and CTO at Dataworkz Inc

Co-Founder and CTO at Dataworkz Inc Analytics, Big Data professional with a passion for identifying opportunities in data to optimize business processes as well as better understand customers, their behaviors and preferences. Rich experience in transforming traditional enterprise applications to Big Data architectures. Successfully building data engineering and analytics practices from scratch, recruiting and building global teams.

Connect with Nikhil