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Mobileware

Apache Hadoop

Apache Hadoop Big Data

Apache Hadoop is a software framework employed for clustered file system and handling of big data.   It processes datasets of big data by means of the MapReduce programming model.

Hadoop is an open-source framework that is written in Java and it provides cross-platform support.

No doubt, this is the topmost big data tool. In fact, over half of the Fortune 50 companies use Hadoop. Some of the Big names include Amazon Web services, IBM, Intel, Microsoft, Facebook, etc.

We are experts in handling big data capture as well as analysis of the captured data – integrating captured data or subset into existing platforms – generating reports or applying specific API interfaces.

Advantages with Hadoop

  • The core strength of Hadoop is its HDFS (Hadoop Distributed File System) which has the ability to hold all type of data – video, images, JSON, XML, and plain text over the same file system.
  • Highly useful for R&D purposes.
  • Provides quick access to data.
  • Highly scalable
  • Highly-available service resting on a cluster of computers

Disadvantages with Hadoop

  • Sometimes disk space issues can be faced due to its 3x data redundancy.
  • I/O operations could have been optimized for better performance.
  • Demand lots of memory to be operating properly