Nathi Mabinza Personal Blog (Welcome to Knowledge Centre)

LinkedIn has today announced its Learning platform called " LinkedIn Learning ". The LinkedIn Learning is aimed at befeting organisations - maximazing training, promoting, personalised development and more. With LinkedIn Learning you get: World-class content in more than 9,000 business, technology and creative skills courses. Data-driven personalisation  based on unique insights from the LinkedIn network . Anytime, anywhere convenience including bite-sized tutorials, available online and offline. A demo covers: Vast range of courses Intuitive interface and engagement features Administrative and reporting features Take advantage of this opportunity by signing up :  https://goo.gl/AEtpPg

There are three key rules recommended to follow when opening up data: Keep it simple. Start out small, simple and fast. There is no requirement that every dataset must be made open right now. Starting out by opening up just one dataset, or even one part of a large dataset, is fine – of course, the more datasets you can open up the better. Remember this is about innovation. Moving as rapidly as possible is good because it means you can build momentum and learn from experience – innovation is as much about failure as success and not every dataset will be useful. Engage early and engage often. Engage with actual and potential users and re-users of the data as early and as often as you can, be they citizens, businesses or developers. This will ensure that the next iteration of your service is as relevant as it can be. It is essential to bear in mind that much of the data will not reach ultimate users directly, but rather via ‘info-mediaries’. These are the people who take the data a

Developer Evangelism Developer Evangelism is a new kind of role in IT companies A Developer evangelist is a spokesperson, mediator and translator between a company and both its technical staff and outside developers.

Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and share-alike. The full open definition gives precise details as to what this means. To summarise the most important: Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form. Re-use and Redistribution: the data must be provided under terms that permit re-use and redistribution including the intermixing with other data-sets. Universal Participation: everyone must be able to use, re-use and redistribute - there should be no discrimination against fields of endeavor or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed. Interoperab