SOURCE: Trifacta


September 29, 2015 09:00 ET

Trifacta Announces a Preview of "Data Wrangling: Techniques and Concepts for Agile Analytics" at Strata + Hadoop World

NEW YORK, NY--(Marketwired - Sep 29, 2015) - STRATA -- Trifacta, the leading data wrangling solution for exploratory analytics, today released the preview edition of "Data Wrangling: Techniques and Concepts for Agile Analytics," written by Trifacta's director of data science and solutions engineering, Tye Rattenbury, and Trifacta co-founders Joe Hellerstein, Jeffrey Heer and Sean Kandel. The full version of the book will publish in spring 2016. Stop by the Trifacta booth #737 at Strata + Hadoop World, on September 30 from 3:30 - 4:30pm ET, to receive a copy of the book preview, and have it signed by co-authors Joe Hellerstein, Jeffrey Heer and Sean Kandel.

"Data Wrangling" explores the fundamentals and best practices for preparing data for analytic use cases. In particular, it examines the new data-driven ecosystems around big data and highlights the recent, fast growing agile analytics processes in a diverse range of organizations across industries. Ultimately, "Data Wrangling" aims to arm analysts with the skills and knowledge to maximize their time -- enabling broad explorations and faster pathways to unlock the value within their data.

"Good data science starts with an understanding of what a business is trying to do. From there, you bring data to bear on the problem," said Hilary Mason, founder of Fast Forward Labs and data scientist in residence at Accel Partners. "Sometimes data analysis can be done with the right charts, and sometimes it needs a sophisticated model. Regardless, it's pretty rare for the data you have at hand to be ready for the analysis you want to do. In nearly every scenario, there's a phase of data wrangling where you really get to know your data, and shape it to suit your angle of attack."

"Data wrangling is evolving from a niche data engineering or data science activity to a core component of the mainstream data analysis workflow. As more and more companies turn to data to grow and innovate, we see a rapidly growing need for data wrangling tools that a wide variety of users can effectively leverage. The key is balancing ease-of-use with power," said Tye Rattenbury, director of data science and solutions engineering at Trifacta. "In tandem with publishing this book, we plan to host evangelism and educational programs to drive and tune this balance. Our hope is to bring new people into the community of analysts that work with complex and diverse datasets."

"The number of data-driven companies continues to grow. As that happens, more users realize that data wrangling is critical to their ability to address the expanding scale and diversity of data. For data-centric work to be efficient and high-impact, users need to have agile, iterative approaches to tasks like data preparation and profiling. Empowering this kind of end-user data wrangling is critical for companies looking to innovate with data," said Joe Hellerstein, co-founder and CSO of Trifacta.

Download your copy of "Data Wrangling: Techniques and Concepts for Agile Analytics" today.

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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.

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