Data Wrangling in Financial Services

Join Trifacta & Cloudera for a live webinar on how financial service institutions are wrangling diverse data in Hadoop to more effectively detect fraud.

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Bringing Hadoop to an Analyst's Fingertips

Join Trifacta & Tableau for a webinar on how to bring Hadoop to a wide-range of business users, ranging from line-of-business stakeholders to business analysts.

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See how GoPro wrangles media data with Trifacta.

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Market Guide for Self-Service Data
Preparation for Analytics

Gartner Research examines the self-service data preparation market & how these products reduce the time and complexity of preparing data for analysis.

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CRN - The 10 Coolest Big Data Products TechCrunch New York Times CIO - 10 Hot Hadoop Startups to Watch O'Reilly
CRN - The 10 Coolest Big Data Products

"Big data can be messy. Trifacta attracted a lot of attention this year with its data transformation platform that uses visualization, machine learning and "predictive interaction" technology to "easily transform raw, complex data [in Hadoop] into clean and structured formats" for analysis."

TechCrunch

"An example of a company to watch in this space is Trifacta, which enables both technical and non-technical analysts to access and transform raw data into actionable data."

New York Times

"Trifacta makes a tool for data professionals. Its software employs machine-learning technology to find, present and suggest types of data that might be useful for a data scientist to see and explore, depending on the task at hand."

CIO - 10 Hot Hadoop Startups to Watch

"Trifacta observes both user behavior and properties of the data to anticipate the user's intent and make suggestions without the need for specification. As a result, the cumbersome task of data transformation becomes far more agile and efficient than traditional approaches."

O'Reilly

"Trifacta designed a “readable” DSL for data wrangling but goes one step further: their users “live in visualizations, not code.” Their elegant visual interface is designed to accomplish most data wrangling tasks, but it also lets users access and modify accompanying scripts written in their DSL."

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