What is Big Data Hadoop Technology?
What is Big Data?
Before explaining what is Big Data Hadoop we should learn about what is Big Data. Big Data is the term that is used nowadays for the collection of data sets that are large and complex. Because of their large size, these data sets pose a big problem when it comes to their storage and processing. It is not possible to process this data using traditional methods, as most of it is generated in unstructured form. Thus, Big Data is a way to solve all the unsolved problems related to data management and handling. With the help of Big Data, it is possible to unlock hidden patterns.
What defines Big Data?
Big Data has 5 important characteristics:
- Volume: It refers to the data generated on a daily basis which is massive. Researchers have predicted a data generation of 40 Zettabytes by 2020, which is a rise of 300 times from 2005.
- Velocity: There are 1.03 billion Daily Active Users (DAU) on mobile as of now, which just shows how fast and how much data is getting generated daily.
- Variety: These days, the type of data being generated comes in a variety of forms. It can be structured, semi-structured or unstructured. It can be in the form of images, videos or audios. This variety poses a problem in capturing, storing and analyzing the data.
- Veracity: At times, the data available is inconsistent or incomplete. This makes the data uncertain. The large volume is often the reason behind the uncertainty.
- Value: There is no point in having access to big data until and unless it leads to some earnings.
What is Hadoop?
Hadoop is a framework that allows data storage in a distributed environment so that it can be processed parallel. It is a free, Java-based programming framework. It supports the processing of large data sets in a distributed computing environment.
The HDFS (Hadoop Distributed File System) allows storage of data across a cluster while YARN is a processing unit of Hadoop. It allows parallel processing of data i.e. stored in the HDFS.
Hadoop is based on Google’s MapReduce. It is a software framework in which an application is broken down into a large number of small parts. It lowers the risk of catastrophic failure!