GDPR – what’s all the fuss about? If you are involved with data management or data governance, I am guessing you have read, or at least heard about the new European Union General Data Protection Regulations (GDPR). GDPR comes into force in May, 2018.
Introduction to the GDPR personal data challenge Working out where computer systems store Personal Data (PD) data that needs to be reviewed in the context of compliance with the General Data Protection Regulation (GDPR) is a challenge in any environment.
Introduction to the gdpr challenge Working out which Tables store personal data that needs to be reviewed for the General Data Protection Regulation (GDPR) is a challenge in any environment, but particularly so where the system is one or more of the big Application Packages. Typically these are systems from SAP, Oracle, Salesforce and Microsoft.
Do you really need to discover Microsoft Dynamics AX metadata? The answer is a definite “Yes”, because as one of the world’s most implemented ERP/CRM packaged solutions for large and medium sized enterprises it suffers from the same metadata challenge as SAP, Oracle, and increasingly Salesforce systems. (According to Panorama Consulting Solutions’ most recent survey,
What comes before data extraction? In any data intensive project be it a data warehouse, data migration, master data there is a data discovery phase which has to be completed before any movement of data can be performed.
Top 3 Data Integration mistakes I saw a fascinating post by David Linthicum on the Informatica Blog recently in which he discussed the Top 3 Data Integration mistakes which companies make and how to avoid them.
It was interesting to read the announcement about Salesforce’s latest price hike which amounted to about 40% here in the UK and about 20% in the US. (http://www.theregister.co.uk/2016/05/23/salesforce_uk_40_per_cent_price_hike/)
Introduction The theme at Enterprise Data World 2016 is “transforming to a data driven business” and Silwood Technology are delighted to be sponsoring the event again this year.
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 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 […]
