Steps to Implement Big Data - How To

Steps to implement Big Data

Steps to Implement Big Data

It is important to consider some steps for the implementation of Big Data, as mentioned below:

• Understand business and data. This first step calls for a detailed analysis with the people who today work and understand the processes and data that the company manages.

• The second step is to determine the problems and how the data can help. At the moment of knowing the processes, it is very possible that the problems of the company or the business are found.

Disadvantages of Big Data Analytics

Disadvantages of Big Data Analytics

Disadvantages of Big Data Analytics

According to a survey conducted by TDWI (The Data Warehousing Institute), there were certain drawbacks of the Big Data analysis, including: lack of human resources and skills (46%), difficulty in the architecture of a Big Data analysis system (33%), problems with Big Data usability for end users (22%), lack of business sponsorship (38%) and lack of a convincing business argument (28%), lack of database analysis (32%), , Big Data scalability problems (23%), quick queries (22%) and difficulty loading data quickly enough (21%), among others.

Advantages of Big Data Analytics

Advantages of Big Data Analytics

Advantages of Big Data Analytics

Collecting lots of diverse types of data very quickly does not create value. You need analytics to uncover insights that will help your business.

Big Data grows daily through an inexhaustible data source such as the Web, databases, click tracks, social networks, call centers, geospatial data, semi-structured data (XML, RSS), audio and video, the data generated by the thermometers, data of navigation of websites during a certain time, among others.