Some of the top Hadoop Features

Posted by stackodestechnologies on May 27th, 2019

Reliability:

Fails, the other machine will assume the obligation and operate in a trusted and fault tolerant manner. Hadoop infrastructure includes inbuilt fault tolerance characteristics and therefore, Hadoop is exceptionally dependable.

Cheap:

Hadoop utilizes commodity hardware (such as your PC, notebook). For Example, in a tiny Hadoop bunch, all of your Data Nodes can have ordinary configurations such as 8-16 GB RAM using 5-10 TB hard disk and Xeon chips, but when I'd have utilized hardware-based RAID using Oracle to the exact same function, I'd wind up spending 5x times longer at least. So, the price of possession of a Hadoop-based job is fairly minimized. It's simpler to keep the Hadoop surroundings and is economical also. Additionally, Hadoop is a open source program and hence there's not any licensing price.

Scalability:

Hadoop gets the inbuilt capability of incorporating effortlessly with cloud-based providers. Consequently, if you're installing Hadoop onto a cloud, then you do not need to be worried about the scalability variable since you're able to go right ahead and secure more hardware and enlarge your installation within minutes whenever demanded.

Flexibility:

Hadoop Is Quite flexible concerning capability to manage all Types of information we discussed “Variety" in our previous site on Big Data Tutorial, in which information could be of any sort and Hadoop may store and process all of them, while it's structured, big data hadoop training in wakad.

We understand what's Hadoop, we could learn more about the core elements of Hadoop. Let's know, what will be the core elements of Hadoop.

While establishing a Hadoop bunch, you have an alternative of Deciding upon a great deal of solutions as part of your Hadoop system, however, there are two services that are always compulsory for establishing Hadoop. HDFS stands for Hadoop Distributed File System, and it is a scalable storage device of Hadoop whereas YARN is utilized to process the information i.e. saved in the HDFS at a distributed and concurrent style.

HDFS

Let's proceed with HDFS first. The primary components of HDFS Let us Discuss the functions of Both of These elements In detail.