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Why use Apache Hadoop?
It’s cost effective. Apache Hadoop controls costs by storing data more affordably per terabyte than other platforms. Instead of thousands to tens of thousands per terabyte Hadoop delivers compute and storage for hundreds of dollars per terabyte.
It’s fault-tolerant. Fault tolerance is one of the most important advantages of using Hadoop. Even if individual nodes experience high rates of failure when running jobs on a large cluster, data is replicated across a cluster so that it can be recovered easily in the face of disk, node or rack failures.
It’s flexible. The flexible way that data is stored in Apache Hadoop is one of its biggest assets – enabling businesses to generate value from data that was previously considered too expensive to be stored and processed in traditional databases. With Hadoop, you can use all types of data, both structured and unstructured, to extract more meaningful business insights from more of your data.
It’s scalable. Hadoop is a highly scalable storage platform, because it can store and distribute very large data sets across clusters of hundreds of inexpensive servers operating in parallel. The problem with traditional relational database management systems (RDBMS) is that they can’t scale to process massive volumes of data.
Our platform enables 100% uptime for data processed and stored in Hadoop, completely eliminating downtime and data loss to give global enterprises unmatched performance, scalability and availability.
http://www.bigdatatrainingchennai.in/
We make success at Big Data by designing, implementing, leading and managing large and complex core Apache Hadoop and Hadoop-related projects.
Big Data Training Chennai Online / Classroom / Corporate
Hadoop Training with Certification and Project.
+91 99627 74619 / 044 4512 2065
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To register for upcoming classes
weekends(Classroom)
Fast Track (Classroom) -23rd Sept
Online Class - Sept 18th 2013