BIGDATAPUMP has been awarded the Microsoft Gold Partner status with Cloud Platform competency.
This blog post is intended for readers who already have some experience on building Data Warehouses with earlier versions of SQL Server (2008 or 2012) and are looking for updating their knowledge on how to do it today on SQL Server 2016 and/or on Azure. In addition, I included some insight on the technology trends on the matter.
Couple days ago The Economist published an article titled "Linux and AWS: Cloud chronicles". The article stressed the undeniable importance of Linux and Amazon Web Services (AWS) in the upsurge of cloud computing and went on to explain how network effects have helped both grow in popularity. Despite similar paths, article predicted that their future will diverge and Linux will "happily plod along" whereas "AWS could end up dominating the IT industry just as IBM’s System/360, a family of mainframe computers, did until the 1980s".
Machine learning and “data science” have been popular topics in the tech circles for years now but their usage hasn’t followed the buzz in the more traditional industries. Companies have largely recognized the potential of data driven decision making, yet the wide spread adoption is still on the way.