Business big data analytics Strategy and Big Advantages of Hadoop

The ways in which business is done has changed beyond description. What drives businesses these days is the ability to maintain data impeccably. Here are some businesses that generate huge volumes of data:

1. The banking industry
2. Search engines and data repositories
3. Stock exchange operations
4. Information storage systems
5. Public utility services like electricity service providers and civic bodies
6. and many others endlessly

Data management is a specialized profession by itself. Storing data in a safe environment is but one of the major problems. But there is more to it than that meets the eye. To be effective data must be retrieval at the flick of a few keys. Designing the database is therefore very critical in any management process. That is the reason why the process must be left in the hands of big data analytics companies. Using multiples of tools they can give users a really rich experience. 

 

To do big data analytics, you need to have a strategy first. Here is a brief idea on how to do it.

1. Planning is important and you need to consider the following aspects: make a list of questions, determine what you need to measure and the strategy for measuring parameters, zero in on the correct research design, find the methods you will use to gather the data, find out what should be extracted out of the data and finally review a testing plan.
2. The next step should be how to use the information derived out of a strategy. You should ensure that all the information you collect can be collated and intelligent conclusion can be drawn. You must be particularly careful with the question part. Only then you will be able to make an intelligent inference.

Here are the benefits of a well thought out strategy:

1. You can avoid data collection failures
2. You will not be overwhelmed by the volume of redundant data
3. You will not be lost in the wilderness in interpreting data

See Also  - How Business Transform with Big data

Strategy – the Importance

Without a strategy you will not be able to meaningfully do an analytics of the data you collect or what you have collected in a computer. For this you need to at least have a brief idea behind what data analytics is all about. There are excellent reading materials available in the internet for this purpose, or better still you can talk to your consultant company.

Before you put a strategy to work, do some research yourself and find out if it meets all the purposes for which you are planning it. There are great tools available for this too. You can consider the big data analytics Hadoop for this purpose. It is one of the better known analytics tool available in the market for doing analytics of big volume data.

The 4 Big Advantages of Hadoop

1. The first and foremost advantage of Hadoop is that it is scalable. So can begin with the minimum and add more as your database begins to grow.
2. Hadoop is highly cost effective. It is unlike the RDBMS in many different ways. If you look at the cost of handling data, it is one of the most effective but costs so little.
3. The next big advantage of the platform is that it is flexible. In short, it has not been made with any particular application in mind. So it is possible to use it for both small enterprises as well as for big companies.
4. The other big advantages are: it is fast than most other comparable platforms for doing analytics; it seldom fails, and finally is among the most resilient of platforms.