WHat exactly is a data lake? Recently I have been attending some vendor webinars on Big Data, Data Lake strategy, Hadoop in the context of Data Warehousing and Analytics in an attempt to gain a clearer understanding both of the technology platforms available and more importantly some knowledge of the use cases and benefits a […]
This is an interesting blog by Steve Lucas, President of Platform Solutions at SAP.
We would like to congratulate IBM, Informatica, SAP and Oracle on their continued strong showing in the latest Gartner Magic Quadrant for Master Data Management (MDM) of Customer Data Solutions.
I have been reading quite a lot recently about the applicability of Agile methodologies for Data Warehousing amongst other initiatives and it appears to me that often the topic of source data analysis is under-represented in the literature and blogs so I thought I would discuss the subject of application metadata in an Agile data […]
According to a recent report by leading analyst firm Gartner, heavily customised ERP (Enterprise Resource Planning) systems will have achieved the status of ‘legacy ERP,’ by 2016.
“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.
Metadata is boring and complex and should only be of interest to technical specialists and geeks!
