According to a recent press release, “Trifacta, the global leader in data preparation, announced today a new native integration for Snowflake, the data warehouse built for the cloud. Trifacta’s visual and machine learning guided interface empowers data teams to collaboratively explore, clean, structure and enrich data at the scale and agility provided by Snowflake. Organizations […]
Trifacta Extends Data Preparation to DataOps with New Functionality for Data Engineers
A new press release states, “Trifacta, the global leader in data preparation, today announced a new set of capabilities designed to enable data engineers within data operations (DataOps) practices to more efficiently develop, test, schedule and monitor data preparation pipelines in production. With RapidTarget, Trifacta customers can utilize an existing data model to intelligently guide […]
Trifacta Accelerates Data Preparation for Regulatory Reporting Among Financial Institutions
A recent press release reports, “Trifacta, the global leader in data preparation, today announced that use of its Wrangler products is increasing among financial services organizations to address increasingly demanding risk and compliance initiatives, such as CCAR, BCBS 239, and AML. Trifacta’s momentum in regulatory reporting illustrates the company’s growing presence in the financial services […]
Global Organizations Wasting Billions of Dollars on Data Preparation
A recent press release reports, “Clean data is a critical ingredient for robust and accurate analyses, yet many organizations are still relying on manual and inefficient processes to prepare and clean data, according to a new survey from Trifacta, the global leader in data preparation. These inefficiencies are draining resources and inhibiting organizations’ ability to […]
Trifacta Increases Adoption Among Marketers as Solution for Faster Data Onboarding
by Angela Guess A new press release states, “Trifacta, the global leader in data preparation, today announced that use of its Wrangler products is increasing among marketers to onboard marketing data, with both marketing departments and with organizations that are embedding the product into their own marketing and analytics solutions. To date, 18 percent of […]
Trifacta Available for Deployment Through Microsoft Azure to Provide Faster Data Wrangling
by Angela Guess A recent press release states, “Trifacta, a global leader in data wrangling, announced the availability of Wrangler Enterprise in the Azure Marketplace, allowing organizations to deploy Trifacta in less than 30 minutes. Trifacta & Microsoft Azure have already seen early success with large-scale enterprise customers including Chubb, Donnelley Financial Solutions, and Etihad […]
Trifacta Expands Data Wrangling on the Cloud with Additional Support of Amazon Web Services
by Angela Guess According to a recent press release, “Trifacta, a global leader in data wrangling, today announced expanded support for Amazon Web Services (AWS) and the availability of Wrangler Edge and Wrangler Enterprise on AWS Marketplace, allowing organizations to deploy Trifacta in less than an hour. Trifacta has also earned AWS Machine Learning (ML) […]
Alation and Trifacta Deliver Integrated Data Cataloging and Data Wrangling Solution
by Angela Guess According to a new press release, “Alation Inc., the collaborative data company, and Trifacta, the global leader in data wrangling, today announced the extension of their partnership to include the joint delivery of an integrated solution for self-service data discovery and preparation — required elements of modern analytics platforms. The unified solution […]
Trifacta and Google Collaborate to Create Google Cloud Dataprep
by Angela Guess A recent press release out of the company states, “Trifacta, the global leader in data wrangling, today announced it has collaborated with Google to build Google Cloud Dataprep. Google Cloud Dataprep embeds Trifacta’s intelligent, user-friendly interface and Photon Compute Framework, and natively integrates Google Cloud Dataflow for serverless, auto-scaling execution of data […]