July 16 – Talend, the global big data integration software leader, today announced the availability of the Talend Big Data Sandbox, a pre-configured virtual environment designed to quickly get big data projects off the ground through real-world use cases and interactive learning tools.
Big data projects often start with a “sandbox” or proof-of-concept project. Throughout these projects, challenges abound that derail plans and prevent companies from delivering an effective return-on-data. A completely configured virtual big data integration environment, the Big Data Sandbox provides a one-stop-shop for big data integration, data quality and Hadoop, saving developers weeks of installation and configuration time, as well as time spent building and integrating their first big data prototype.
“Big data developers are scarce and can be very costly,” said Fabrice Bonan, chief product officer and co-founder of Talend. “Talend enables current data integration developers to quickly connect, transform and manage diverse structured and unstructured data sources without any MapReduce programming, using graphical Eclipse-based tools to generate optimized code.”
Preconfigured with real-world use cases, the Big Data Sandbox helps big data users to quickly and easily evaluate their big data needs. The Big Data Insights Cookbook, included, contains a step-by-step guide with several working big data examples and video tutorials, comprising: ETL offloading, clickstream analysis, Twitter sentiment analysis and Apache weblog analysis. This rich environment enables users to speed up their big data integration learning curve.
With the Big Data Sandbox, developers can start prototyping their project using the fully featured Talend Platform for Big Data, big data documentation, online video tutorials, vast open online community, and connectivity to any data source including big data distributions and NoSQL.