Hadoop Foundation

Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.

Hadoop Foundation

1. Hadoop Introduction

    What is Bigdata

    Hadoop Intro

    Hadoop Features

   Hadoop Vendors

2. Hadoop Architecture

     Hadoop Architecture Intro

     Hadoop HDFS Architecture

     Hadoop MapReduce Architecture

Types Of Big Data

Following are the types of Big Data:

1. Structured

2. Unstructured

3. Semi-structured

Characteristics Of Big Data

Big data can be described by the following characteristics:

• Volume

• Variety

• Velocity

• Variability

(i) Volume – The name Big Data itself is related to a size which is enormous. Size of data plays a very crucial role in determining value out of data. Also, whether a particular data can actually be considered as a Big Data or not, is dependent upon the volume of data. Hence, 'Volume' is one characteristic which needs to be considered while dealing with Big Data.

(ii) Variety – The next aspect of Big Data is its variety.

Variety refers to heterogeneous sources and the nature of data, both structured and unstructured. During earlier days, spreadsheets and databases were the only sources of data considered by most of the applications. Nowadays, data in the form of emails, photos, videos, monitoring devices, PDFs, audio, etc. are also being considered in the analysis applications. This variety of unstructured data poses certain issues for storage, mining and analyzing data.

(iii) Velocity – The term 'velocity' refers to the speed of generation of data. How fast the data is generated and processed to meet the demands, determines real potential in the data.

Big Data Velocity deals with the speed at which data flows in from sources like business processes, application logs, networks, and social media sites, sensors, Mobile devices, etc. The flow of data is massive and continuous.