Talend Unveils New Sandbox to Help Companies Increase Expertise in Big Data

Pre-Packaged, Fully-Configured Toolkit Allows Developers to Easily Test Hadoop, Spark and Machine Learning Prior to Production in Order to Reduce Risk

Redwood City, CA - September 20, 2016 -

Talend (NASDAQ: TLND), a global leader in cloud and big data integration software, today introduced a pre-configured, easy-to-use, virtual environment that gives companies a no-risk, zero-cost way to experiment with the latest big data technologies. Talend’s new Big Data Sandbox provides an intuitive, drag-and-drop, visual design environment that makes it easy to build integration workflows, with pre-built, big data use cases, and a step-by-step ‘cookbook’ that allows those with limited expertise to get up and running on Hadoop in minutes. Interested parties can download a free trial of Talend’s Big Data Sandbox by visiting this page.

According to research by Gartner, “Big data requires experimentation. Starting with a predefined and comprehensive set of business cases and an elaborate strategy can easily take the discovery and experimentation out of the equation. This would be unfortunate, as big data approaches and technologies offer the opportunity to come up with different business questions, different insights and different business operations.”[1]

“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,” said Ashley Stirrup, CMO, Talend. “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.

In order to get the most ROI out of any big data implementation, IT leaders need to identify the tools and platforms that best serve their business needs and provide a modern, flexible IT environment that can keep pace with rapidly changing market demands. Talend Big Data Sandbox provides an intuitive way for developers to test big data technologies before deploying them in their existing infrastructure. Experimenting within this virtual environment allows IT leaders to determine the budget, talent, and roll-out time required to maximize the outcome of a big data project with minimal business disruption.

With limited installation and configuration, developers can be up and running with Talend’s Big Data Sandbox in minutes. Additionally, new Docker technology allows users to conduct side-by-side comparisons of Hadoop distribution platforms in real-time to determine which will better service their existing environment. Docker’s import/export functionality also enables teams of developers to more easily collaborate and share use case prototypes, as well as investigate the capabilities of cutting-edge database technologies like NoSQL.

Talend’s Big Data Sandbox includes a step-by-step ‘cookbook’ with five ready-to-run, real-world use case scenarios, including:

  • Real-time analysis of data from multiple streaming sources
  • Real-time, personalized offer recommendations based on customer behavior
  • Clickstream analysis with the ability to visualize activity on a heat map so companies can more precisely track web traffic
  • Monitoring IT operations using Apache weblogs
  • Extract, Transform and Load (ETL) offload performance to help accelerate complex workload processing

Talend will be hosting live demonstrations of its Big Data Sandbox at Strata + Hadoop World 2016, taking place in New York at the Jacob Javits Convention Center, September 26-28. To learn more about how Talend helps IT fast-track big data projects in order to address rapidly changing business demands, check out this video or register for Talend’s live webinar on October 6th, 2016.

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[1] Gartner Research, “Big Data Strategy: Get Inspired, Get Going, Get Organized,” by Frank Buytendijk, Alexander Linden, Douglas Laney, September 2015.