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Big Data Sandbox aims to kick off Hadoop testing
September 21, 2016 News


Docker technology will help businesses compare distributions.

For businesses struggling to find a big data use case that they feel they should invest in Talend has an answer, a Big Data Sandbox.

The cloud and big data integration software company wants to provide a pre-configured, virtual environment that will give companies the ability to experiment with big data technologies without risk or cost.

The Big Data Sandbox will provide a visual design environment that the company says will make it easy to build integration workflows, with pre-built, big data use cases and a step-by-step guide. All of which will help users of any ability to get up and running on Hadoop.

Ashley Stirrup, CMO, Talend, said: “Most organizations have a limited pool of skilled developers and therefore find it difficult to grow their big data expertise or unlock the benefits of Hadoop.

“Talend’s Big Data Sandbox helps them overcome these challenges by allowing Java developers to quickly become proficient with Hadoop. Talend Big Data Sandbox offers an easy-to-use trial environment that allows developers to better understand the end-to-end lifecycle of a big data project by going hands-on with the latest data integration and acceleration technologies.”

The company said that users can be up and running in minutes and Docker technology will allow users to conduct side-by-side comparisons of Hadoop distribution platforms in real-time. Also included is a Docker import/export functionalist that will help teams of developers to collaborate and share use case prototypes.

Users will have access to five real-world use case scenarios such as; real-time analysis of data from multiple streaming sources, real-time personalised offer recommendations based on customer behaviour, and clickstream analysis with the ability to visualise activity on a heat map.

The big data market has been going through somewhat of a lull in the past six months as businesses figure out how they can make the most of their data and what use cases to apply analytics to first.