Dear Sir,
Thank you so much for valuable information on nano-degrees at Udacity.
The internet of things is here to stay. Ever more devices are connected to the internet and
are able to communicate with each other, sometimes without the user being aware such
communications take place. These devices can make our lives much easier. For example in
healthcare, transportation and energy the connected devices can change the way we do
things. The internet of things however, can also reveal intimate details about the doings
and goings of their owners through the sensors they contain.
- Internet of things' sensor data is high in quantity, quality and sensitivity. This means the inferences that can be drawn are much bigger and more sensitive, and identifiability becomes more likely than not. Considering that the identifiability and protection of bigdata already is a major challenge, it is clear that big data derived from internet of thingsdevices makes this challenge many times larger. Therefore, such data should beregarded and treated as personal data.
- Even though for many companies the business model is as yet unknown, it is clear that the value of the internet of things is not only in the devices themselves. The money is in the new services related to the internet of things and in the data.
- The internet of things also poses significant security challenges that need to be addressed. A simple firewall is no longer sufficient. One way to minimize the risk to individuals is to ensure that data can be processed on the device itself (localprocessing). Where this is not an option, companies should ensure end-to-endencryption is in place to protect the data from unwarranted interference and/ortampering.
- Data replication (a bit older)
- Semantic mediation
- Data cleansing
- Mass data migration
- Data replication continues to be widely used in production database environments while semantic mediation of data is always very difficult in any environment.
- Data cleansing continues to be a painful;but often, a necessary part of dealing with complex, heterogeneous datasets.
- We're really just getting started on tera- and petabyte-scale data migration to cloud.
The evolution of data integration for cloud - the data cloud is going to encompass a few key concepts like:
- Intelligent data services discovery
- Data virtualization
- Data orchestration
- Data identity
Thank you once again for valuable information,
With warm regards,
Prof. G.S.Autee
MIT, Aurangabad-431028 MS India
Email: govind.autee@mit.asia
Tel: +912402375281; Mobile: +91 9689949953
http://www.mit.asia/engg-future.aspx
Sent: Tuesday, October 28, 2014 6:42 PM
To: join_mtc
Subject: [MTC Global] Bridging the gap--Nano Degree
As the need for specialists in the fields of data mining, cognitive computing, web based services and content curation begin to increase, the public sector is now entering the field of education by providing short courses in the form of nano-degrees.
The leader in this domain is Udacity, which has provided nano-degrees in web development, iOS development and data analysis.
The advantage of nano-degrees is their focalised nature. Rather than going through an entire course, these degrees focus on a core module and offer a learning style that is extremely collaborative and adapted to the current workplace.
Students are given a real-time project which they all need to complete by performing multiple tasks. At the end, the tasks are amalgamated with the aid of the course guide, thus leading to the end of the project and the reception of a qualification certificate.
MTC GLOBAL- Educate, Empower, Elevate
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