Showing posts with label Scalability. Show all posts
Showing posts with label Scalability. Show all posts
Thursday, 23 February 2017
Map/Reduce Framework Basic - Kapil Sharma
Labels:
Bigdata,
datascience,
Datasets,
Exabytes,
Framework,
Hadoop,
Howto,
keys,
MapReduce,
nodes,
NoSQL,
Scalability,
values
Location:
Panchkula, Haryana, India
Wednesday, 5 November 2014
Hadoop Benefits - Kapil Sharma
Hadoop Benefits:
Every day approx 3 exabytes (2.5×1018) of data were created globally.
Benefits: If analysed than they reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
Low cost: Hadoop is open-source framework. So its free.
Computing power: It has distributed computing model which quickly process very large data volumes. The more nodes(computing) you use the more processing power your hadoop setup going to have.
Scalability: Easily increase your hadoop system simply by adding more nodes. Less IT administration is required.
Storage flexibility: Hadoop includes unstructured data like text, images and videos in a single go. Users can store as much data as they want and decide how to use it later period.
Inherent data protection and self-healing capabilities: Data and application processing are protected against hardware failure. If a system(node) goes down, jobs are auto redirected to other systems to make sure the distributed computing does not leads failure. And it auto stores multiple data copies of input data.
Labels:
Benefits,
Computing Power,
Cost,
Hadoop,
Scalability,
Setup,
Storage
Location:
Panchkula, Haryana, India
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