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Hadoop

Big Data is bringing the large possible opportunities, but it is difficult to handle with traditional storage systems. Hadoop comes with its role here; it is a tool that is used to handle big data efficiently and effectively. Formally, Hadoop is an open source distributed processing framework and it manages the data processing and storage for big data applications that are running on clustered systems. We can take from the previous line as Hadoop is primarily used for storage and processing and most of the data scientists take this open source platform in use.

It has a Master-Slave Architecture for data storage and distributed data processing using MapReduce and HDFS (Hadoop Distributed File System) methods. It can handle various forms of structured and unstructured data.

Why to choose Hadoop?

Hadoop is an open source and Java-based framework as well as it can easily be understood and explained. It offers massive storage for any kind of data and its frame allows user to quickly write and test distributed systems. Some of the key points elaborating its importance for your business:

  • Hadoop's distributed computing model processes big data fast and accurately.
  • Hadoop has an ability to store and process huge amounts various data quickly. 
  • Data and application processing is protected against hardware failure.
  • It provides a flexible data storage system.
  • It brings cost effective and economical solutions. 
  • You can easily grow your system to handle more data simply by adding nodes.

Why to Choose Inaysys for Hadoop services?

Inaysys is ready to serve you for Hadoop consulting and development services with the team of Hadoop consultants and highly qualified expert developers. We assure, by acquiring our professional services, your business can take all the possible advantages from Hadoop and related frameworks. We understand your needs and come up with the best solutions alongside with the live support.

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