ITC560 Internet Of Things

Big data is a general phrase that is used to various kinds of facts that exist in the present world of the business. Big data may be defined as a set of data that are difficult and multifaceted that conventional data processing application software are insufficient to deal with them. On the other hand, IOT is the system of physical devices, vehicles, home appliances, and other item entrenched with software, sensors, electronics, actuators and connectivity that facilitates these things to interconnect and replace data, generating new and innovative opportunities for straight combination of the substantial world into the computer based systems for enhancing and improving effectiveness and efficiency (McAfee, Brynjolfsson, Davenport,  Patil & Barton, 2012). The IOT creates large amount of data that is called big data. Managing this huge volume and various varieties of data imposes ample of challenges when resources, time and processing capabilities and potentials are inhibited. It is analyzed that big data is becoming more challenging for data collected via the IOT (Kaisler, Armour, Espinosa & Money, 2013). The ample of challenges are pertaining to big data in internet of things, and further these challenges are also linked with data visualization, data management, data semantics, formless data analytics, data discovery and data fusion. Big data and internet of things are interconnected with each other. There are various things that created by internet and classified as data whether they are useful or not. Dealing with data growth is one of the significant challenges in IOT that affect the growth and progress of the organizations (Datamation, 2018).

Along with this, data validation also may affect the internet of things. Aside this, big data also affect the cloud computing and further it is a biggest challenge for the cloud computing. The term cloud refers to accessing computer, software applications and information technology through a network connection by accessing various data using various area networking (WAN). Security is a major issue or concern for the cloud providers and businesses in today’s competitive world that could affect the business activities adversely (Chen & Zhang, 2014). Moreover, data acts are also a biggest grave issue that requires data centers to be faster to a user than a supplier. The cloud providers and clients have their own share of challenges and issues involved when creating an agreement on various cloud resolution (Mosco, 2015). Weak API’s and insecure interfaces can give valuable and significant information to hackers and these people can misuse all these facts and information for the incorrect causes. Fraud and error are also major issue in cloud and internet of things that may put direct impact on the business. Along with this, cloud security is generally misunderstood and data movement is also a major challenge for the users or providers. In addition, huge investment is required in big data for storing space. In today’s modern world, moving huge sets of data, facts and rendering the detail required to access it is a major concern. These huge sets of data generally carry sensitive information such as debit card, credit card number, addresses and statistics security issues that are serious issue for the users and companies as well. In this way, various challenges are associated in cloud and IOT (Krutz & Vines, 2010).

On the above mentioned analysis, it concluded that big data is a serious concern in cloud and internet of things that affect the any type of business in the international market.

References

Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314-347.

Datamation.,2018. Big data challenges [Online],Retrieved from https://www.datamation.com/big-data/big-data-challenges.html

Kaisler, S., Armour, F., Espinosa, J. A., & Money, W. (2013,January). Big data: Issues and challenges moving forward. In System sciences (HICSS), 2013 46th Hawaii international conference on (pp. 995-1004). IEEE.

Krutz, R. L., & Vines, R. D. (2010). Cloud security: A comprehensive guide to secure cloud computing. Wiley Publishing.

McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data: the management revolution. Harvard business review, 90(10), 60-68.

Mosco, V. (2015). To the cloud: Big data in a turbulent world. Routledge.