Postponing cloud transformation is like burning the candle at both ends while not taking the time to install a light bulb; eventually you’ll end up in the dark.
15 Must Wins of Data Cloud
Goodbye & Hello – My six months with Data Science team
Key take-aways from Microsoft Build & BIGDATAPUMP’s Gold Partnership
BIGDATAPUMP awarded Microsoft Gold Partner status
Five Years of Big Data - From pilots to a prerequisite
From Democratized Machine Learning to Digital Whisky Sommeliers
BIGDATAPUMP awarded Microsoft Silver Data Analytics competency
BIGDATAPUMP is now a Microsoft Power BI Partner
How-to: Run Power BI reports on-premise
BIGDATAPUMP’s next strategic steps
BIGDATAPUMP awarded Microsoft Silver Cloud Platform competency
Data Warehousing on Azure and on SQL Server 2016
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.
"Cloud Wars" aren't over yet
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".
Data Science is the new BI
Cloud analytics have changed the world big time. BIGDATAPUMP is an independent and objective solution provider using always the best fit technology for each purpose. Personally I have not written earlier about any specific analytics technology but this time I decided to make an exception. Microsoft and Azure deserve a special focus.
What Gartner's Magic Quadrant for Advanced Analytics doesn't tell you
tl;dr: Gartner's Magic Quadrant for advanced analytics doesn't do a good job in helping to decide which analytics tool(s) to acquire. It also misses the point that open source projects are the real leaders in advanced analytics. Vendors that position themselves to complement open source projects rather than competing against them will be ones to watch.
Ad exchanges are just markets of information
Online advertisement is sold more and more through ad exchanges and auctions in particular. Ad auctions are an efficient way of buying and selling ad space and they will get more popular simply because they are better for everyone. In theory, auctions are "strategy proof" and hence you can't game them.
Microsoft Power BI – A new stone in the game
In BIGDATAPUMP, we have had two main BI visualization tool families in most active use in our customer projects: Qlik products and Tableau. However, also Microsoft’s Power BI started to look really promising, and in February it ranked really well in Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms.
