March 6, 2019

The True Cost of Doing Big Data…the Old Fashioned Way…

Despite the challenges associated with data warehousing, enterprise IT leaders have accepted it as a necessary evil of deriving value from information within Hadoop and other Big Data ecosystems. How much does it cost to create data warehouses or datamarts…

Posted by: Bruno Aziza

March 4, 2019

What is a Universal Semantic Layer? Why Would You Want One?

I am a software engineer and I like abstractions. I like abstractions because done correctly an abstraction will factor complexity down to a level where I don’t have to spend any brain cycles thinking about it. Abstraction lets me work…

Posted by: Matt Baird

The Future of Tech: Cloud, AI and your budget…

If you're a sucker for great market data like I am, you must have heard of Mary Meeker. Mary is partner at Kleiner Perkins Caufield & Byers. She's known in the Valley as a specialist in digital businesses and has…

Posted by: Bruno Aziza

The 1990’s called, they want their OLAP back.

In 1992, Arbor Software shipped the first version of Essbase. Which stands for Extended Spreadsheet Database. In 1998, Microsoft shipped Microsoft SQL Server Analysis Services. The time of multi-’dimensional’ databases had come into full being and almost 30 years later…

Posted by: Mike Haynes

Make Big Data Work on Any Cloud

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…

Posted by: Lucio Daza

How a Unified Semantic Layer Can Help Business Intelligence

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…

Posted by: Ashley Huang