Hadoop Architecture

Managing Hadoop architecture for big data requires new tools.

Apache™ Hadoop offers a lot of benefits for enterprises that want faster access to big data. Hadoop architecture enables distributed processing of big data sets across clusters of computers, and can scale easily from a single machine to thousands of servers. The architecture is robust – it's designed to handle failure at the application layer and to continue operating even when individual servers or clusters fail. And it's incredibly efficient, since it doesn't require applications to move large volumes of data across a network.

But deploying a Hadoop architecture isn't a simple prospect. There's a shortage of skills on the job market when it comes to developers who can with Hadoop architecture, and legacy integration architecture can't scale sufficiently to keep pace with Hadoop as data environments grow. To truly take advantage of everything that Hadoop architecture can do in terms of storage and big data analysis, your enterprise needs solutions that offer native support and don't require developers to have specialized knowledge in working.

Talend enables easy integration with Hadoop architecture.

Talend provides an open source big data solution that runs 100% natively on Hadoop, enabling you to implement Hadoop architecture quickly and manage it easily. With an easy-to-use graphical environment, Talend lets your developers visually map big data sources and targets without needing to learn or write complicated code. That means you can use Hadoop architecture to get everything big data offers without the need to train developers or incur enormous deployment and management costs.

Talend also lets you take advantage of the massive scalability of the Hadoop architecture. After a big data connection is configured, Talend automatically generates the underlying code that can be deployed remotely as a job runs natively on big data clusters like HDFS, Pig, HCatalog, HBase, Sqoop or Hive.

Benefits of using Talend for Hadoop architecture.

When deploying and managing Hadoop architecture, Talend provides you with:

  • Speed. Talend combines big data components for Hadoop MapReduce 2.0 (YARN), Hadoop, HBase, HCatalog, Sqoop, Hive, Oozie, and Pig into a unified open source environment, so you can quickly load, extract, transform and process large and diverse data sets from disparate systems more quickly.
  • Security. Talend uses native Hadoop security, Kerberos, and is the only data quality solution to run inside the Hadoop framework.
  • Support. Talend's big data components have been tested and certified to work with leading big data Hadoop architecture distributions, including Amazon EMR, IBM PureData, Cloudera, Hortonworks, Pivotal Greenplum, Pivotal HD, MapR, and SAP HANA. Talend also provides out-of-the-box support for big data platforms from the leading appliance vendors.
  • Integration. Talend includes more than 800 pre-built connectors so you can integrate almost any data batch or real time big data source.

Talend offers several Big Data solutions. Talend Open Studio for Big Data combines big data technologies into a unified open source environment. Talend Big Data adds teamwork and management features, while Talend Big Data Platform provides additional big data quality and profiling, and higher levels of service.

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.