Data is the lifeblood of any business. Today, big data has applications in just about every industry–retail, healthcare, financial services, government, agriculture, customer service among others. Any organization that can assimilate data to answer nagging questions about their operations can benefit from big data. In overall, the demand for big data transcend across all sectors and business. Those who work to understand their customers’ business and their problems will be able to proactively identify big data solutions appropriate to their needs, and thus gain competitive advantage over their competitors. Job demand for people with big data skill-set is also in the rise especially professional, scientific and technical services; information technology; manufacturing; and finance and insurance; and retail. DevOps is baseless without the cloud. IoT needs cloud to operate efficiently, for computing is required by the cloud operate efficiently. AI remained only as model up until the advent of big data. Blockchain and related distributed ledger technologies are disrupting the technology sector as we know it. The confluence of technologies is just inevitable and often they are beneficial especially today when usher in the 4th industrial revolution (Rabah, 2017a) and the forth coming machine economy (Rabah, 2018). More-so, data is a key ingredient of approaches to developing AI and machine learning, which are now being applied to a wide variety of uses, from stock trading to chatbots to self-driving cars. There is barely a business or human activity today that is not considered as a target for AI in future years and decades.