Business Intelligence Vs Hadoop
Traditional enterprise data and Hadoop are the most trusted approach for a zesty newcomer. The question, that obviously arises in this context, is whether there is a room for both business intelligence and Hadoop. As these are two different approaches, the question arises is that how can they co-exist. However, before knowing anything else, it is important to understand Hadoop, and how different companies are utilizing it for fulfilling large numbers of purposes. Existing users of business intelligence makes the most use of Hadoop. There are several reasons for which Hadoop has emerged to be a popular technology.
Know More On Hadoop:
Hadoop is an open source programming framework that is scalable, reliable and inexpensive for storing and distribution of data used in wide varieties of purposes. It handles failures in hardware and software. Moreover, it is also designed for massive scale memory, processors, and locally attached storage. In addition to that, massively parallel programming. It is made in such a way so that it can process terabytes and petabytes of different data. It can even break huge data into smaller blocks of data. These are then distributed in a commodity cluster for efficient processing. It is a part of a larger framework of related technologies.
Companies Adopting Hadoop:
As per the survey reports more than half of companies are using Hadoop for processing large-scale data. A majority of the users have the ability to produce new products and services that help in cost savings beyond using other platforms. Over 82% of companies benefit from efficient analyzes and better implementation of computing resources. A majority of users are designing and operating various levels of analysis with data on a large scale. Some organizations also use Hadoop for making the best use of unstructured data like event and logs data. Many users of Hadoop also carry out advanced analysis, data mining or development of algorithm and testing. Currently, Hadoop has also carved a clear niche just next to conventional systems.
Data Storage And Analytics:
The file distribution system of Hadoop enables an optimal and reliable way of storing data in the overall framework. It works as a backbone in the implementation of Hadoop. This is something that is not found in business intelligence and its method of handling analytics. Managing high volumes of data was never easier until the advent of Hadoop and its greater progression. It opens new dimensions in the analytical world of data. Larger numbers of data analysis make use of the components to explore, structure and analyze the data and run into business insight.
Changing The Handling Of Massive Data:
Hadoop is changing the entire way in which massive data are handled in business organizations. Faster response time and lower-cost hardware give it the opportunity to analyze the new dimensions of data for getting business insight. These are things that were untouched in traditional business intelligence. It is because of this reason that business users are considering Hadoop as the biggest future platform for investing. This in turn can help in building enterprise-level solution with the components available in Hadoop. Even if, Hadoop and business intelligence are different, they can be largely integrated into successful operations.