Data wrangling: definition, steps, tools

Data scientists spend a large portion of their time on data preparation activities. Much of this data preparation activity involves data wrangling.

Enabling organisations to adopt a global analytics culture

Coronavirus and containment have changed the lives of billions of people: Work, education, training, shopping, medical consultation, entertainment, and even sport are different… The Covid-19 crisis is drastically accelerating the shift to the world of telework and digital relationships.

Data infrastructure must be efficient and scalable

Aware of the enormous potential of Big Data, more and more companies are looking for data data analytics solutions that can meet their current and future needs. Efficiency and scalability Efficiency and scalability are crucial in this regard.