Analytics is a well-known domain that has been helping companies and organizations steer and optimize their business. However with evolution of Hadoop analytics and the flood of new data has made traditional analytics unable to keep on par with the user demands in analytics. Hadoop is a new data management framework that can store and process any volume and variety of information at a fraction of the cost of a traditional business analytic solution. Hadoop analytics complements your existing business analytic investments for more and faster insight.
However, Hadoop being new, open source, and in a constant evolution stage, makes the adoption of Hadoop analytics (often also referred to as Big data analytics) intimidating and indeed quite complex. Trifacta hides the complexity of Hadoop and Hadoop analytics by providing business users, data analysts and other data driven professionals an elegant, simple, and intuitive experience in achieving their analytics on Hadoop thanks to:
- A breakthrough self-service experience to prepare any form of Hadoop and non-Hadoop data into a consumable layout for analysis.
- A drastic productivity enhancement for analysts to explore, refine, and validate data without the dependency on IT or Hadoop knowledge.
- Allowing the end user to gain trust in Hadoop Analytics with accurate data in making decisions or implementing efficient data products.
- The increase in the number of data points provided by Hadoop, while reducing the time and effort for preparing data.
To learn more about how data wrangling with Trifacta can help you adopt Hadoop analytics, download our white paper Why Data Wrangling is Key to Unlocking your Big Data Potential.