The book Lean Analytics by Alistair Croll and Benjamin Yoskovitz builds on the Lean Startup movement. The authors say that we live in a digital world, and we can build something on the cheap, measure its effect, and learn from it to build something better next time. Lean Analytics is used to measure the progress,…
Chances are that when you started learning MapReduce, the first example that was covered was counting how many times a word appears in a given text or set of texts. This example is sometimes referred to as the “Hello, world!” of MapReduce. The example is straightforward enough and it explains how MapReduce works nicely. But…
Has this happened to you before? You spend months designing, building, testing, and delivering a data warehouse solution. You feel a sense of accomplishment, not just because you delivered on time and on budget, but because you delivered something that was needed and that is now being used and appreciated by the end users. And…
Recent references to business intelligence being on the way out (examples here and here) may be a result of misinterpreting what Gartner said about business intelligence competency centers being dead. Probably everyone agrees that business intelligence itself is not on the way out. It is evolving from the traditional data warehouse and single version of truth to…
As a private citizen, I am ever more annoyed with the rising amount of advertising that hits me everywhere: on the Internet, in magazines and newspapers, on billboards, in public transportation, even in public toilets. It is especially annoying when I am bombarded with ads for stuff that I don’t want because the advertisers missed…
Ever since Ralph Kimball, the guru of dimensional modeling, announced his retirement, it has felt like the end of an era. He was among the first data warehousing/business intelligence pioneers some 20 years ago and although there has been much advancement in the field since then, his dimensional modeling principles are still strongly rooted and…
Loading data into data warehouses, also known as the ETL process, is an established way of taking data from the source systems and bringing it into the data warehouse. The process consists of three steps: Extract data from the source systems, Transform the data so that it conforms to the data warehousing environment and finally Load…
When we talk about Big Data, we nearly always associate Hadoop as the platform for storing huge amounts of data in a distributed environment. We often include MapReduce as the programming model for processing large data sets. Although it has been known for some time that MapReduce has limitations and is thus not universally applicable…
The book Data Smart: Using Data Science to Transform Information into Insight by John W. Foreman is one of those fantastic books that upon reading it I kept on asking myself why I haven’t come across it sooner. The author makes everything about data science appear less mysterious and so much clearer. On the one hand,…
Article published in MonitorPro 04/14, p. 39-40. Do small businesses have big data and if so, how can they take advantage of big data analytics? The perception that small businesses have too little data or that there is no time or interest to perform data analytics or that it is too expensive is simply not true….