Big Data vs Hadoop

Big Data:

• Big data means set of data and that data are more complex.it include different types of data with different types of format.
• It include many challenges like sharing,visualisation,capture,sharing,storage,transfer and querying.

Properties of Big Data:

Big Data having three properties

• Volume
• Velocity
• Variety

Hadoop:

• Hadoop is an one type of tools designed to handle big data.
• Hadoop is an open source and java based Framework maintained by global Community.
• Hadoop framework are used to storage and analysis of big data.

Hadoop having two main components

• HDFS- Hadoop Distributed File System
• MapReduce

Hadoop Developers vs Hadoop Administrators:

Hadoop Developers are responsible for coding and programming. Hadoop developers develops the applications in Mapreduce,hive etc.., Hadoop admin are responsible for operational tasks and maintenance.

Skills to Learn Hadoop:

There are two skills are most important

Java - Hadoop is a Java based framework so Java is most important to develop the hadoop applications

Linux - Hadoop runs on linux

Features of Hadoop:

Scalable - it stores the large amount of data.

Flexible - Easily access the new data and generate new value from that.

Fast - it process most data in one minutes.

Resilient to failure - one data send to one node and that data also replicated into another node in cluster so another copy of data available to use.

Also read Hadoop Basics

PDF Download - Hadoop Training Topics