Updated March 4, 2019
How a Unified Semantic Layer Can Help Business IntelligenceResearch 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…
Updated March 4, 2019
Hortonworks chooses AtScale as its standard for BI-on-HadoopWe 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…
Updated March 4, 2019
Gartner Magic Quadrant for Business Intelligence (BI) 2016: The Good, The Bad, The Ugly…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…
Updated March 4, 2019
Data Lake Intelligence with Amazon Redshift Spectrum and AtScaleIn 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…
Updated March 4, 2019
CDOs: They Are Not Who You Think They AreGoogle 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…
Updated March 4, 2019
Big Data: The Unknown UnknownsIndustry leaders know that their challenges with big 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…
Updated March 4, 2019
BI Tools: The Do’s and Don’t’s of Integrating HadoopBig 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…
Updated March 4, 2019
BI-‘in’-Hadoop is DeadCongratulations! 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?”…
Updated March 4, 2019
API – Using AtScale’s WebhooksOften times, customers approach me with questions around AtScale’s ability to integrate into the customer’s operational stack. Today, I want to highlight a component of AtScale’s Development Extensions called Webhooks. A webhook (also called a web callback or HTTP push…
Updated March 4, 2019
Announcing AtScale 6.5Data Lake Intelligence with AtScale In my recent Data Lake 2.0 article, I described how the worlds of big data and cloud are coming together to reshape the concept of the data lake. The data lake is an important element…
