According to the report “Are Businesses Really Digitally Transforming or Living in Digital Denial”, 85% of business decision makers believe they have a period of just two years to achieve significant breakthroughs in their digital transformation before suffering financially and / or to fall behind their competitors.
Do you think that Hadoop will be totally abandoned in the future? Do you think that Spark will replace Hadoop at term? Will Hadoop one day be overwhelmed … These are a lot of questions around Big Data that are increasingly asked, by professionals, who fear that they have specialized in bad technology, by journalists, who fear that Hadoop will eventually become fashionable, and by the students, who wonder if it’s really interesting to follow an academic curriculum on Big Data.
“A picture is worth a thousand words”. This sentence summarizes all the interest and the purposes of Data Visualization – or DataViz for intimates. Data Visualization is the technique of representing data in a visually understandable form (tables, charts, maps, chronologies …) in order to facilitate reading and analysis. In the age of Big Data, the DataViz is more essential than ever to see clearly in the tons of data processed by companies.