MapReduce is the key to managing big data.

The ability to work with MapReduce (and also with YARN for big data) is critical for any organization that wants to take advantage of big data. As a software framework for distributed processing of large data sets on clusters of commodity hardware, MapReduce is essential for achieving the speed, resilience and processing power that big data can deliver.

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But working with MapReduce presents a challenge for many organizations. Manipulating massive data sets requires developers to have a fairly deep level of skill in MapReduce programming. But few developers been trained on this software framework, and the developers who are highly experienced in MapReduce are highly sought-after and extremely well-paid. MapReduce and big data technologies also require some changes in infrastructure from the enterprise in order to handle the enormous amount of data and integrate the large number of new data sources. And few organizations today have the resources necessary to develop both the people and the infrastructure to adequately manage big data.

That's where Talend's software can help. Talend delivers easy-to-use tools that let developers work with MapReduce and other big data technologies using the skills they already have, and the infrastructure the organization already has in place.

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Talend provides easy-to-use MapReduce functionality.

Talend solutions provide a powerful platform for big data that lets developers work with technologies like MapReduce without needing to learn new skills. Using Talend, developers can integrate and manipulate big data to mine social media, work with sensor data analytics, track capital markets, research customers, and all the other tasks associated with big data today.

In addition to functionality for MapReduce 2.0 (YARN), Talend provides big data components for Hadoop, HBase, HCatalog, Oozie, Sqoop, Pig, and Hive, a Hadoop database. Talend also enables developers to work with NoSQL databases like Cassandra, MongoDB, Neo4j and Riak, and with leading Hadoop distributions like Cloudera, Hortonworks, MapR, and Amazon EMR.

What developers can do with Talend and MapReduce.

With Talend tools for managing big data, developers can:

  • Integrate any big data source using pre-built connectors. Talend provides more than 800 connectors that let developers quickly and easily connect to virtually any data source. An easy-to-use graphical environment allows developers to map sources to targets without needing to learn new big data skills or create complicated code.
  • Manipulate massive amounts of data using existing skillsets. With Talend, developers can use the MapReduce program and other big data technologies to quickly load, extract and manipulate big data set, and easily perform complex transactions and analytics.
  • Manage big data projects easily. Talend simplifies big data governance with a simple, intuitive environment for implementing and deploying any big data program, as well as a common repository where developers can share project artifacts and metadata, and collaborate more easily.

Learn more about Talend’s big data solutions from the many resources on this web site, or download Talend Open Studio for Big Data today and start benefiting from the leading open source big data tool.

| Last Updated: March 5th, 2018