Discuss the similarities and differences between traditional data visualization and data visualization for Big data?

1) Data warehouses and data marts are essential as back end infrastructure for organizations to properly report on the data and help drive better business decisions. Research and find an example of an organization that had a failed data warehouse project and what were some of the issues that led to its failure.
2. Data visualization is a growing trend in displaying data graphically to better illustrate a trend or pattern. Discuss the similarities and differences between traditional data visualization and data visualization for Big data? What companies / tools exist to help provide data visualization for big data?

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