摘要： Artificial intelligence and machine learning are not “set and forget” technologies. They need quality assurance to operate, and continue to operate, as intended.
摘要： Many enterprises move their data problems to the cloud. Invest the time and money to clean up your data so that it can be more valuable to the business.
摘要： Since its conception in October 2010 by James Dixon, data lake has undergone a myriad of developments and is now used globally by a lot of firms. To understand how a data lake works or what it can be used for, we must first understand what it means.
