Data Analytics

The world is connected with many devices that people use and when people surf the internet they produce about a million GB of data which need to be produced and need to be analyzed so that they can use the data to improve different machines like artificial intelligence which can be used to give you recommendation on products that you were looking for as well as to improve self-driving in car as well as make the world more digitally connected to each other and all this can only be done if weuse data analytics as a tool which can help us make the world a better place to live.

Data analytics is a field which requires a person to be able to do many mathematical operation as well as a person who is able to use machine learning so that when analyzing the data he can sort a data into million of combination in which the like products are linked together and are then connected to other products by seeing how they are related to each other. This is called a neural network and in total is used so that a person can get a result when he searches for anything in the data set.

The process in which the data analytics is done as first we identify the problem and then we design the data requirement that is needed to pre-process the data. After the preprocessing is done then be perform analytics over data which help us to analyze the data in such a way that we get the basic understanding of how we need to process the data. Then we visualize the data in the form of bar, histogram, heat map, etc. We can visualize the data and we can do this in such a way that the data can be understood by people who don't even know what is data analysis is. Then the cycle continues and that is a life of data analysis as he needs to compile the data in such a way that makes sense to the consumers that use your data. Companies have begun to shift from a data generating enterprise to a data computed company.

Data analytics over the years

The data which is prodes has been on the rise since 2010 as the electronic devices like mobil,laptop as well as other elctronic devices are becoming cheap so more people have access to internet as internet is also cheap in india and as a result the company are able to gather a large amount of data on a person.The big data is huge and data analysis and big data go hand in hand so that they can make sense of the data which is gathered by people.Business around the world need to implement the right research and data driven big data analytics so that they are able to be ahead of the other countries that are in this field.

1. Data management. The data which is produced should be managed and so the data mangement is very important.

2. Data mining. Data mining technology helps us to examine large amounts of data to discover patterns in the data – and this information can be used for further analysis to help answer complex business questions.

3. Hadoop.

4. In-memory analytics.