If your team has been trying to connect your Business Intelligence (BI) tools to your Hadoop environment, you're familiar with the typical issues: performance, security and the inability to model the data in a way that business users like to…
Modeling Multi-Level Facts In our last Advanced Modeling blog post we looked at using bridge tables to resolve many-to-many relationships. In this post, we are going to expand that use case and look into how to model facts that apply…
Part One - Modeling Many-to-Many Relationships Using Bridge Tables I have been fortunate throughout my career to work with a range of companies, from some of the largest enterprises in the world to smaller companies that are disrupting industries with…
At the beginning of 2018 we predicted that cloud adoption would be one of the key strategic trends that would help enterprises succeed with Big Data. Managing on-premise data infrastructure requires a huge effort. And, as people become more adept…
My previous blog highlighted some best practices to gain immediate value from all the capabilities that AtScale offers when using Tableau as your BI tool of choice. One of those best practices is to use AtScale-created date dimensions to improve…
When we started AtScale five years ago, there were just five of us, driven by the desire to change the way enterprises deliver analytics to the business. AtScale was born out of necessity. At Yahoo!, my team and I had…
Like many people these days, I really love data. I started my career in the 90s evangelizing business intelligence (BI) and invented one of the first BI platforms for the enterprise. For the past 10 years, at companies like Yahoo!…
In our last segment, we learned about Hadoop's various components and how they work together as a Big Data Management platform. The next key step to understand is how your team can load data into Hadoop. Many are under the…
I was late to the game when I unboxed my first iPhone in 2008. As a mechanical engineering student at the time, it wasn’t an easy decision to spend 2 months’ food budget on a “non-essential gadget”. Thankfully, it turned…
In order to be successful, data driven organizations must analyze large data sets. This task requires computing capacity and resources that can vary in size depending on the kind of analysis or the amount of data being generated and consumed.…
