Data Wrangling for Organizations
Businesses benefit from data when it is consumable and in a format for people to interpret and take action. However, the data that makes up an organizational analysis comes in all shapes, sizes and sources and must be extensively cleaned, structured and joined together before analysis can even take place. Relying exclusively on traditional ETL, spreadsheet or scripting-based approaches to prepare data for analysis is no longer a viable option.
Trifacta Wrangler Enterprise is the industry-leading data wrangling platform. With Wrangler Enterprise, organizations are able to give analyst teams the self-service ability explore and transform data while maintaining centralized management of security, governance and operationalization.
Benefits of Wrangler Enterprise
Wrangler Enterprise includes all of the core aspects of Trifacta’s award-winning data wrangling experienceLearn More
Speed Up the Analysis Process
Accelerate the analysis process by leveraging a more intuitive and efficient process for preparing data for analysis
Bridge the Gap Between People and Data
Enable business analysts and stakeholders across the organization to intuitively wrangle data themselves instead of relying on IT
Manage Data Security, Governance and Collaboration
Centralize data wrangling processes to enforce IT concerns of data access, lineage and sharing without creating overhead for users
Share Context and Knowledge of Data
Leverage the shared knowledge and context of individuals across the organization to foster repeatable, data-driven innovation
What Wrangler Enterprise Customers Are Saying
With Trifacta as a partner, we are on our way to building a world-class data capability that will help us better understand and better serve our customers.
Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.
The ability to rapidly process data of tabular and semi-structured formats is critical to product usage analysis. With one of the largest Hadoop deployments in the world, our data transformation and cleaning process needs to be intuitive, automated and robust.
- RedHat Linux 6 & 7
- CentOS 6 & 7
- Ubuntu 14.04
Supports on-premise platforms including Cloudera, Hortonworks, MapR and Infosys IIP and cloud computing environments including AWS, Google Cloud & Microsoft Azure.
- Secure web application
- Apache Sentry
- Apache Ranger
24 X 7 premium enterprise support via email and phone.