Big Data - Kapil Sharma (101)

Big Data consists of five types:

1. Volume

2. Velocity 

3. Variety 

4. Veracity 

5. Value  

More than 90% of big data set created in last 3+ years.

To process this huge data set of unstructured data, big data frameworks comes in picture. 

To retrieve value from processing, computing and analysis data leads to the unique value addition. 

BigData Useful URL's - Kapil Sharma

BigData Useful URL's

1. http://aws.amazon.com/big-data/
2. http://aws.amazon.com/training/course-descriptions/bigdata-fundamentals/
3. http://www.hadoopexam.com/
4. http://www.cloudera.com/content/cloudera/en/training/library/developers.html

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