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.…
Research shows that the average enterprise has at least 6 to 10 Business Intelligence tools. Microsoft Excel, the world's most prevalent analysis tool is used by 1 Billion users. Other companies like Tableau, Qliktech, MicroStrategy or Business Objects have had…
We started AtScale because we believe that everyone should be able to use all data for all decisions. We believe that people should have unencumbered and secured access to information, work with data of all shapes, at lightning speed and…
Yesterday, Gartner published the 2016 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade. It is THE document of reference for buyers of Business Intelligence technology. At face value, not…
In a recent article in Information Age we talked about how the worlds of big data and the cloud are preparing the path for the emerging concept of Data Lake 2.0. We believe that Amazon’s approach to the cloud-enabled data…
Google the word “CDO” today and your search will mostly results return articles about the “Chief Digital Officer”. However, if you came to this blog, you’re probably looking for guidance on the other title this acronym refers to: “The Chief…
Industry leaders know that their challenges with data analytics are spread across 4 areas: confirmation (‘the things they know they know’); intuition (‘the things they don’t know they know’); inspection (‘the things they know they don’t know’); and revelation (‘the…
Big data can translate to big wins for your company, but making it work means working smarter. Hadoop makes it simple to distribute storage and process very large data sets. Make Hadoop work for you even further by pairing it…
Congratulations! Your Hadoop cluster is up and running. Your data feeds work; your team knows how to manage the cluster, and expert users mine the data with Hive, Pig, Spark. But your executives aren’t satisfied. “Where is the business value?”…
