Benefits of using SQL-MapReduce framework for data analytics

It is undeniable that whether you talk about digital marketing optimization or fraud detection, you cannot avoid data analytics for long. In fact, most of these applications are likely to make you look for something that can facilitate massively parallel processing (MPP). It is also obvious that when dealing with very large volumes of data, you have no option but to reply on MPP. Nevertheless, in such a situation, what you actually need is an SQL-MapReduce framework that can at least offer automatic parallelization, if nothing more. Of course, if your team of business analysts can use the framework with exemplary ease, you should not even think twice.

When you look for an SQL-MapReduce framework, you should avoid ignoring reusability, seamlessness, and other important things especially if you want to reap the benefits. In fact, it makes sense to specifically look for fault isolation in order to ensure that even if the code is poorly written, a single statement does not have an impact on the others. When looking for the aforementioned things, you should not miss out on scalability. After all, scalable performance can help you in ensuring that you will no longer have to worry about complete distributed application optimization. Last but not least, if a framework gives you procedural flexibility, you should opt for it ASAP.

Nevertheless, it is imperative for you to ensure that you are able to save some time with the help of the framework that you have selected. One of the benefits of using the framework is that you can easily achieve better performance on large data sets without having to spend too much time. In fact, if you undertake click stream analysis, you may be required to spend somewhere around 77 seconds especially if you have successfully found the right kind of framework. However, if anything to do with analytics is on your mind, you are probably looking for richer analytics. Therefore, it is advisable for you to take this thing into account when looking for the right kind of framework.

To sum up, if you use the framework discussed above, you are likely to enjoy at least two benefits especially when it comes to data analytics. Firstly, large data volumes will no longer bother you as you are likely to handle them without any difficulty. Secondly, even if your analysts do not have extremely specialized programming skills, they may be able to take full advantage of the framework.