apHarmony offers Hadoop development services. Whether you are looking to transfer an existing software backend to the Hadoop database or build a new Hadoop application, we will be happy to bring our team to your software project. Please feel free to give us a call at 630-855-7522 for a free evaluation and quote.

Hadoop first began revolutionizing large-scale data processing in 2005, when the first prototype was developed by Yahoo as part of a new open-source search engine. Since then, the database has been implemented by a plethora of leading brands for data processing, from Google, to Facebook, to Amazon. More than half of the Fortune 50 companies use Hadoop, and the largest database belongs to Facebook, with over 100 PB (petabytes) of information.

The primary mechanisms of Hadoop are built around distributed processing through the map-reduce framework. Since Hadoop is built for large data sets, the data may be distributed across several machines. Operations are split into two phases: the map phase, where a relevant subset of data is retrieved from the cluster, and the reduce phase, where that data is further processed and analyzed before returning the final result. Through its distributed nature, the map-reduce framework enables efficient processing of very large data sets using commodity equipment.

There are three primary languages for interfacing with the Hadoop database. Applications can be built using a native Java interface, a procedural language called Pig, or a SQL-based language called Hive. Between Pig and Hive, Pig has the most flexibility for low-level optimization, while Hive is the easiest to use for application development. .NET extensions for Hadoop also exist for integration with the framework.

Hadoop can be hosted either on a local cluster, or on a cloud service. Both Microsoft Azure and Amazon Web Services offer Hadoop database services. For a free evaluation and quote on a Hadoop software development project, please feel free to give us a call at 630-855-7522.