Talend Hadoop, Big Data: Focus On User-Friendly ProgrammingTalend Hadoop, Big Data: Focus On User-Friendly Programming
Open-source Big Data vendor Talend has introduced new tools that make it easier to interact with Hadoop, MapReduce and NoSQL. But do channel partners know what to look and ask for?
May 7, 2013
Hadoop-based Big Data management that's simple enough for anyone: Isn't that all every IT manager really wants? Talend, which develops an open-source integration platform for enterprises, says that dream has become a reality with the latest release of its platform, which "introduces game-changing features" that allow anyone to analyze large datasets using Hadoop, MapReduce and NoSQL, even if they lack special technical expertise.
The product, version 5.3 of Talend's Platform for Data Services, brings with it a list of new features that make it much easier for integration developers to work with Hadoop and other Big Data tools, according to Talend. They include:
Tools for generating MapReduce code, which allow programmers to write for the MapReduce architecture without having to learn a new set of skills.
Graphical mapping functionality. This feature, according to Talend, focuses especially on the Pig programming language and "allows any developer to graphically build a data flow to take source data and transform it using a visual mapper. For Hadoop developers familiar with Pig Latin, this mapper enables them to quickly develop, test and preview their data jobs within a GUI environment, rather than resort to hand-coding."
Enhanced support for NoSQL databases. That should be an especially attractive feature as the Big Data ecosystem continues to embrace the NoSQL approach for data-structuring needs, replacing the relational databases that have traditionally predominated.
It would be an overstatement, of course, to say that Talend's new tools make Big Data analysis easy enough for anyone. This is not a simple plug-and-play platform for your grandmother; it requires need some level of expertise in programming and familiarity with Big Data concepts. But it does make life easier for professional programmers with a basic requisite knowledege — and, by extension, these types of tools can save time and money for enterprise.
The focus on value-added Big Data technologies that deliver greater user-friendliness and ease-of-use is especially interesting in the open-source space, in which Talend is heavily invested. The traditional bane of the open-source world has been great software that's too complex, poorly documented or lacking in reliable support to lend itself to wide adoption. Yet solutions like Talend's promise to continue driving the open-source ecosystem's momentum in the Big Data space, assuring that Hadoop will retain its predominance even as Big Data analysis grows more and more complex.
About the Author(s)
You May Also Like