So does this “big data architecture” buzzword actually mean? This is simply the system that digests huge quantities of ubiquitous raw data in the marketplace and prepares it for big data business analytics. Big data architecture is therefore basically a blueprint for the big data business analytics – big data for big analytics.
Big data architecture therefore needs to be structured to cope with a number of different categories of tasks:
- Big data batch processing
- Big data real time processing
- Machine learning
Big Data, Big Analytics
It’s obvious that a big data business requires big data business analytics. But big data analytics require properly designed big data architecture in order to be cost efficient and provide the optimal tools for making the right choices in a highly competitive business.
The big data just keeps on getting bigger, as the amount accessible for analysis rises on a daily basis. But obtaining the data is only the first and easiest step. You also need to be able to form a coherent picture from these reams of information and be able to carry out the big analytics on this big data to actually make critical decisions in a timely matter. Big Data requires not only big analytics, but rapid big data business analytics.
Big Data Business
It has been said time and time again that data is the new oil. So what kind of business model is right for all the big data businesses out there? As thousands of would be big data business startups littering the landscape will testify, there is no single big data business model which guarantees success.
Still, quite a few well established companies remain committed to the vision of transforming themselves into competitive big data businesses, and capturing the associated revenue streams. Apple and Amazon are worth noting as well-established, successful big data business companies that have generated entirely different big data business models, big data business analytics, and big data architecture to handle a very different flow business flow. The same is true for Netflix and Pandora.
It seems that struggling big data businesses seem to be alike in latching onto a single big data business model, whereas successful companies adopt a different, unique data business model that is right for them and their value proposition.