Hadoop is an open source framework that is used efficiently for storing data and running applications on clusters of hardware. Below are the five advantages of Hadoop ,

Highly scalable technology:

A Hadoop cluster can grow simply by adding new nodes. It is not necessary to make adjustments that modify the initial structure. Therefore, it allows us an easy growth, without being tied to the initial characteristics of the design, making use of dozens of low-cost servers that, unlike the relational database, cannot scale. 

  •  Low-cost storage:

There are numerous advantages with respect to the classic systems in storage and data processing because, not depending on their expensive infrastructure, it allows to reduce costs thanks to the use of standard servers, with the possibility of expanding without limit. Being based on a large number of small computers, each of them processes a part of the information but acts in a coordinated manner. In this way, the result is a comparative advantage without competition: it works like a huge computer.

  • Flexibility: 

There is the possibility of adapting accessory tools that work in the Hadoop environment and help in the design of processes, integration or improve other aspects. By increasing the number of system nodes, we also gain in storage and processing capacity. In turn, it is possible to add new and different sources of data.

  • Speed: 

According to Hadoop training institute in bangalore, Your low cost, scalability and flexibility will be of little use if the result is not reasonably fast. Fortunately, Hadoop also allows you to execute processing and perform very fast analyzes.

  • False tolerance: 

Hadoop is a technology that makes it easy to store large volumes of information, which in turn allows you to recover data safely. If a device falls, there is always another copy available, which makes it possible to recover data in case of failures.

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