SAP data Since I first got to know the complexities of the SAP data landscape, which is more years ago than I care to mention, not a lot really changed on a year on year basis. The principal receptacle of the SAP metadata landscape was the SAP Data Dictionary – a set of database tables […]
big data’s little jobs I happened across an interesting article by David Gee recently. It was entitled “A guide to the little jobs that will make big data work.” (http://www.itnews.com.au/blogentry/a-guide-to-the-little-jobs-that-will-make-big-data-work-409655) What I found particularly noteworthy, not to mention refreshing, was the acknowledgement of the importance of metadata in a big data project. This is not […]
This is an interesting blog by Steve Lucas, President of Platform Solutions at SAP. https://blogs.saphana.com/2014/11/12/a-roadmap-for-simple/ The first paragraph reads: “Our CEO, Bill McDermott, has thrown down the gauntlet on enterprise complexity so to speak and issued a challenge to every single SAP employee: Make our valuable products and solutions simple to understand, simple to discover, simple […]
“Garbage out, garbage in” I know, I know I have got that the wrong way round. Well, actually I did it on purpose to illustrate a problem with BI/Data Warehousing projects and incidentally many other Information Management initiatives. That problem is the challenge of source data analysis – particularly with SAP, Oracle and Salesforce packages. […]
I picked up on a great blog by Jonathan Haun, Consulting Manager, Decision First Technologies recently where he talked at some length about the Data Modelling aspects of SAP HANA, click here to link through to it. I commented back that I felt that HANA projects needed to go through a data source discovery phase […]
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