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Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of businessintelligence with every product release. Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008.
Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of businessintelligence with every product release. Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008.
” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” Enough time has passed; I think we can now be honest with ourselves.
Artificial Intelligence (AI) and Machine Learning (ML) As more companies implement Artificial Intelligence and Machine Learning applications to their businessintelligence strategies, data users may find it increasingly difficult to keep up with new surges of Big Data.
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