Monday, 10 November 2014
BigData Useful URL's - Kapil Sharma
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
What is Hadoop - Kapil Sharma
What is Hadoop?
Hadoop - is an open-source software framework for storing and processing big data in a distributed fashion on large clusters of commodity hardware. Essentially, it accomplishes two tasks: massive data storage and faster processing.
Currently three core components are included with your basic download from the Apache Software Foundation.
HDFS - the Java-based distributed file system that can store all kinds of data without
prior organization.
MapReduce –
a software programming model for processing large sets of data in parallel.
YARN – a resource management framework for scheduling
and handling resource requests from distributed applications.
Hadoop link: http://hadoop.apache.org/releases.html#Download
Labels:
Bigdata,
Core,
DIY,
Framework,
Hadoop,
HDFS,
Howto,
Java,
Lab,
MapReduce,
Processing,
Resource Management,
YARN
Location:
Panchkula, Haryana, India
What is Big Data - Kapil Sharma
BigData:
Extremely large data sets both structured and un-structured.
Four Vs of big data: volume, velocity, variety, variability and complexity.
Benefits:
If analysed than they reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
Every day approx 3 exabytes (2.5×1018) of data were created.
Try this cmd on google search: "?intitle:index.of?mp4 Oracle"
Location:
Panchkula, Haryana, India
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