What is so Special About Big Data Development?
With the increasing volume of business data, data analysts are looking for newer technologies which can handle the challenges of big data analysis. The good thing is that in the last decade, a number of brilliantly curated technologies have emerged which have the capability to handle big data quite effectively. However, none of these technologies are completely perfect. Every big data technology we have access to has its own pros and cons. So, it is the duty of the data analysts to select the big data technology which serves their purpose in the best manner, instead of going for the hypothetical best technology. Some of the most effective big data technologies available today are as follows:
- Hadoop Ecosystem
- Predictive analytics
- Block chain technology
Many people claim that block chain technology is still in its nascent form. However, professionals who are directly involved in big data development are well aware of the capabilities of block chain technology. The technology has enabled some great work in the domain of cryptocurrency in recent times. A specialty of block chain technology which can prove to be extremely advantageous in big data analytics is security. Block chain technology has the capability to keep data secured, giving data analysts one less thing to worry about.
- Data Lakes
Data Lakes is basically a huge repository for both structured and unstructured data. The specialty of this technology is that it allows stockpiling of almost every format of data. So, data analysts are able to access data in their original format without any kind of corruption. This makes the analysis more accurate.
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