Information technology has redefined its role in the modern business enterprise. It has gone from being a mere communications platform that managed company emails and websites to a platform that is used to create and implement powerful business strategy. This has been achieved through the use of big data analytics. This is a subfield of information technology that has focused on converting the wealth of data that are available on the market into useful insights that businesses can use.
The main challenge with the use of these systems is that they are quite costly to implement, maintain, and utilize. Companies are forced to consider the expenses that come with the specialized systems needed for big data analytics as an investment in their future returns. However, not all companies are able to make the substantial investment that is needed to acquire the dedicated hardware needed for these functions. Despite this, companies are still able to set up efficient but affordable systems for data management and analytics. Here is how companies are able to accomplish this.
Network already available computing devices on the company network
The reality is that the majority of employees will only ever use about five to twenty percent of the computing power at their disposal at any one time. This is especially true of white collar companies where the computers are used for normal data processing tasks such as typing, creating spreadsheets and slideshows, and email messaging. This means that there is a large portion of computing power that remains unused.
By networking these computers, it is possible to link up their processing power to create a more powerful computer. As a matter of fact, there are supercomputers that have been created by linking a large number of less powerful computers. Creating this network increases the overall amount of processing power and storage space that is available for data related tasks. In order to execute this successfully, it will be necessary to use the Hadoop distributed file system.
Create a data analytics platform based on the above hardware design
The data analytics platform created for the business must be designed on the Hadoop distributed file system. This will enable it to work with data distributed on a number of different computers on the same network as if it were contiguous. This maintains the efficiency of the analytics system while reducing the cost of handling the large amounts of data involved.
Article Source: http://www.articlesbase.com/databases-articles/how-are-companies-keeping-big-data-analytics-efficient-but-affordable-6885139.html
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