Dream. Dare. Do – that is Suyati’s work principle in a nutshell.
The trend in Big Data is changing rapidly all over the world. Over the years, lot has changed and the developments are there for everyone to see and benefit from.
In its absolute bare, Big Data is a term that has been used to describe sets of data, which are so big that they cannot be processed and understood using the traditional methods of gathering them. The usual challenges encountered include analysis, data curation, searching and sharing, storage, transfer, collating and quantifying it. In fact, the use of big data technology is primarily a tool for predictive analysis, to make better decision, to reduce costs and risks.
Here, we take a look at some of the biggest Big Data Technology for the upcoming future:
Even though big data analysis is an important aspect, certain things need to be avoided. For instance, using RDBMS schema as files and creating data ponds can lead to confusion in mining the data as it provides variable answers to the same question. This could eventually create problems for the users. Treating Hbase like an RDBMS or HDFS as a file system, are other issues that can be easily avoided.
Data Agility will gain more importance in the near future. Instead of focusing on managing the data, companies will now measure the value of the data that is coming in. More importantly, it will be about analysing how effective this data will be in managing results and predicting the profits a business can make. Data Lakes are out and Data Platforms are in. Data Lakes have actually evolved as platforms for the large scale data processing required by firms. In fact, this has led big data going main stream.