Data analysis projects to improve customer relationships, fraud detection, cyber-security, and a variety of other critical objectives are making a massive impact on the way modern companies do business. In order to implement these valuable analytics, companies are faced with a dizzying array of analytics choices, data storage and data processing tools, frameworks, and platforms. Every analytics tool on the market claims to be fast. But can they produce data that has business value?
Read this paper to understand the kind of speed that is essential to analytics success: