In this guide, we will discuss SQL in Big Data Analytics. SQL stands for structured query language. It is one of the most widely used languages for extracting data from…

In this guide, we will discuss about R programming in Big Data Analytics. This section is devoted to introduce the users to the R programming language. R can be downloaded…

In this guide, we will discuss Data Visualization in Big Data Analytics. In order to understand data, it is often useful to visualize it. Normally in Big Data applications, the…

In this guide, we will discuss Data Exploration in Big Data Analytics. Exploratory data analysis is a concept developed by John Tuckey (1977) that consists on a new perspective of statistics.…

In this guide, we will discuss Summarizing Data in Big Data Analytics. Reporting is very important in big data analytics. Every organization must have a regular provision of information to…

In this guide, we will discuss Cleansing Data in Big Data Analytics. Once the data is collected, we normally have diverse data sources with different characteristics. The most immediate step…

In this guide, we will discuss Data Collection in Big Data Analytics. Data collection plays the most important role in the Big Data cycle. The Internet provides almost unlimited sources…

In this guide, we will discuss Problem Definition in Big Data Analytics. Through this tutorial, we will develop a project. Each subsequent chapter in this tutorial deals with a part…

In this guide, we will discuss Data Scientist in Big Data Analytics. The role of a data scientist is normally associated with tasks such as predictive modeling, developing segmentation algorithms,…

In this guide, we will discuss Data Analyst in Big data Analytics. A data analyst has reporting-oriented profile, having experience in extracting and analyzing data from traditional data warehouses using…