This article is more than 6 years old. The two terms data analysis and data visualization seem to have become synonymous in everyday language in the wider data community. Numerous job adverts ...

Learn More Data analytics is defined as the capability to apply quantitative analysis and technologies to data to find trends and solve problems. As volumes of data grow exponentially ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

Here’s why Today, Structured Query Language is the standard means of manipulating and querying data in relational databases, though with proprietary extensions among the products. The ease and ...

“The power of deep data analysis can transform an industry overnight,” McKenzie said. The increased importance of data analytics lends itself to greater demand for industry professionals who possess ...

As with Google searches, does merely keyword searching a trillion tweets really count as performing a trillion-tweet “big data” analysis? If the actual analysis involves performing sentiment ...

Learn More The modern business world is driven by data and some of the most valuable ... Careful collection and analysis leads to a more complete picture. “I think most companies have a ...

Apache Spark also bundles libraries for applying machine learning and graph analysis techniques to data at scale. MLlib includes a framework for creating machine learning pipelines, allowing for ...