ELearning: What is Big Data and IoT?
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EnglishVoice Age
Middle Aged (35-54)Accents
British (General)Transcript
Note: Transcripts are generated using speech recognition software and may contain errors.
we are now living in what I suggest to be the information. Age is Wild West of information discovery. As we share more of our lives via social media and organisations generate more information daily, a data overload begins to develop. According to a quote from IBM, over 2.5 quintillion bytes that's one billion gigabytes of data is being created every day. Around 90% of the world's data has been created in the last two years alone. This is a staggering figure and it is expected that the volume of data is to double every two years. About 75% of data is unstructured, coming from sources such as text, voice and video. Big data is a term for any large collection of data sets. These data sets are so enormous and complex that they become difficult to process using traditional data processing applications. The databases are de normalised, meaning there are instances of redundancies in the data sets. One cause of this data explosion can be attributed to the Internet of things or Iot. Iot is a computing concept that describes a future where everyday physical objects will be connected to the Internet and be identifiable to other devices, an object that can represent itself digitally becomes something greater than the object by itself. It does so by using emerging technologies such as near field communications, real time localisation and embedded sensors to convert. As Terry sing in his 2014 article stated Dumb Things into smarter things, the item enveloped with Iot Technologies, develops what can be referred to as a digital identity. The object no longer relates just to you, but is now connected to surrounding objects and database data. The challenges that arise from both big data and Iot are plentiful, and changing the landscape of how data is created through these methods leaves much to discover. Luckily, there are individuals who are willing to resolve these challenges and are not intimidated by the necessary work needed to decipher such intricacies. These individuals are data scientists