CIS301 Presentation

The database is an integral part of modern life. From the websites that we access, to the smartphone apps we use on a daily basis, to the purchases that we make online and at the store, data is constantly being collected. This includes everything from cellphones, coffee makers, washing machines, headphones, lamps, wearable devices and almost anything else you can think of. This also applies to components of machines, for example a jet engine of an airplane or the drill of an oil rig. As I mentioned, if it has an on and off switch then chances are it can be a part of the IoT. The analyst firm Gartner says that by 2020 there will be over 26 billion connected devices… That’s a lot of connections (some even estimate this number to be much higher, over 100 billion). The IoT is a giant network of connected “things” (which also includes people). The relationship will be between people-people, people-things, and things-things. (Morgan, 2014) As we continue to add more devices, we add more data that needs to be stored and referred to in reports and marketing and business intelligence tools, among other things. The internet of things has the potential to revolutionize most areas of life, including personally, professionally, and commercially. This can affect things like employment and how we connect with and interact with others. There are important considerations to take into account when determining the most efficient and secure means of storage. Develop a presentation for a plan to create data collection services and a data warehouse. Your presentation should be 3-5 minutes long. Use charts, graphs, and images as necessary and be sure to cite any sources you use. Use however many slides you need to to create an effective 3-5 minute presentation that covers the following elements: Summary of what a data warehouse is Construction of data collection services from multiple potential sources to feed the data warehouse Design principles that will affect the setup of data collection services from the IoT Strategies for ensuring that quality, verified data is beiaqwng fed into the data warehouse Securing the data warehouse

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