Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster and can handle large volumes of structured and unstructured data more efficiently than the traditional enterprise data warehouse. Because Hadoop is open source and can run on commodity hardware, the initial cost savings are dramatic and continue to grow as your organizational data grows. Hadoop can integrate data from different sources, systems and file types.
Scalable-Hadoop is a highly scalable storage platform, because it can store and distribute very large data sets across hundreds of inexpensive servers that operate in parallel.
Cost effective- Hadoop also offers a cost effective storage solution for businesses' exploding data sets.
Flexible- Hadoop enables businesses to easily access new data sources and tap into different types of data (both structured and unstructured) to generate value from that data.
Fast- Hadoop's unique storage method is based on a distributed file system that basically 'maps' data wherever it is located on a cluster. Hadoop is able to efficiently process terabytes of data in just minutes, and petabytes in hours.
Resilient to Failure- A key advantage of using Hadoop is its fault tolerance. When data is sent to an individual node, that data is also replicated to other nodes in the cluster, which means that in the event of failure, there is another copy available for use.
ERP/Cloud Consulting, Big Data, Web & Software Development
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