Trifacta Presents How Domain Specific Languages for Data Wrangling Support Multiple Execution Frameworks for Diverse Data

SAN FRANCISCO, CA--(Marketwired - Jun 25, 2015) - Trifacta, the leading data wrangling solution for exploratory analytics, today announced that engineers, Zain Asgar and Seshadri Mahalingam, will be speaking at Big Data Day LA. The session will explore the technical challenges and advantages of leveraging a domain specific language (DSL) for data wrangling. Asgar and Mahalingam will discuss the engineering considerations for constructing a DSL to support the different execution platforms required for efficiently transforming datasets of all shapes and sizes.

"Traditionally, transforming data has required developers to hand-code scripts for the particular data processing platform they're leveraging for execution. With the various big data platforms, empowering users with a DSL that compiles down to the appropriate execution environment for a particular dataset provides entirely new levels of efficiency," said Zain Asgar, director of engineering. "We look forward to discussing how we've architected our DSL, 'Wrangle,' to separate the user's intent from a specific execution engine, while maintaining expressivity and allowing a wider range of users to wrangle diverse data."

Asgar and Mahalingam will discuss how high-level user interactions produce language expressions and shared code generation across execution environments.

Title: Compiling DSLs for Diverse Execution Environments
Date: June 27, 2015
Time: 11:15am - 11:50am PT
Location: The Collective, Breakout Area 5
Speakers:
Zain Asgar, director of engineering
Seshadri Mahalingam, senior software engineer

Additional Resources

• Big Data Day LA: http://bigdatadayla.org/
• Learn more about Trifacta: http://www.trifacta.com
• Read more on the Trifacta blog: http://www.trifacta.com/blog
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• Connect on LinkedIn: http://www.linkedin.com/company/trifacta

About Trifacta
Trifacta, the leading data wrangling solution for exploratory analytics, significantly enhances the value of an enterprise's big data by enabling users to easily transform and enrich raw, complex data into clean and structured formats for analysis. Leveraging decades of innovative work in human-computer interaction, scalable data management and machine learning, Trifacta's unique technology creates a partnership between user and machine, with each side learning from the other and becoming smarter with experience. Trifacta is backed by Accel Partners, Greylock Partners, and Ignition Partners.