Hadoop is the favourite of all solution of the Big Data. Some points on why are Hadoop important are as follows. You also check out the advantages and disadvantages of Hadoop to know more about it.
Points on Why Hadoop important?
Unlike conventional relational databases, data need not be pre-processed until it is stored. You can store as much data as you want and decide later about how to use it. This includes unstructured data such as text, videos and images.
Hadoop is free and uses commodity hardware to store large quantities of data.
Data and application processing are secured from hardware failure. If a node goes down, jobs are immediately redirected to other nodes to ensure that the distributed computing fails. Multiple copies of all the data are automatically stored.
The distributed computing model of Hadoop manages big data easily. The more nodes you use in computation, the more power you have in memory.
You can easily expand your system by simply adding nodes to handle more data. It needs no administration.
Ability to store and process huge amount of any type of data quickly
It is a key concern with the constantly growing data volumes and varieties, particularly from social media and the Internet of Things (IoT).
Build more efficient data economy
Hadoop has revolutionized worldwide Big Data collection and analysis. Until now, organizations have been concerned with how their systems might handle continuous data overflow. But the Hadoop has changed the economy of storing and evaluating data completely.
Hadoop has a very flexible and rich ecosystem which is well suited to developers, start-ups and other organizations’ analytical needs. Hadoop Ecosystem consists of many related projects, such as MapReduce, Hive, HBase, Zookeeper, HCatalog, Apache Pig, which allow Hadoop to provide a broad range of services quite competently.