In a paper of at least two pages (excluding the title and reference pages), addr

Question

In a paper of at least two pages (excluding the title and reference pages), address the following: •The Internet is considered a ‘game changing’ technology. Discuss at least three reasons why this is true. •The Internet changed the way business is conducted in today’s business environment. Discuss at least two reasons you believe make this a true statement. •Define ‘Big Data’. Describe how ‘Big Data’ and distributed data fit in the modern business environment. Support your discussion by providing examples for each bullet. Utilize a minimum of two references which may include the text and an academically sound resource, such as peer reviewed journals found in the Ashford University Library or industry standard publications such as informationweek.com, ACM.org, or computer.org

Explanation / Answer

The Internet has turned our existence upside down. In almost everything we do, we use the Internet. Ordering a pizza, buying a television, sharing a moment with a friend, sending a picture over instant messaging. Before the Internet, if you wanted to keep up with the news, you had to walk down to the newsstand when it opened in the morning and buy a local edition reporting what had happened the previous day. But today a click or two is enough to read your local paper and any news source from anywhere in the world, updated up to the minute.

The potential of the Internet to reach a large and growing body of customers, coupled with low communication costs, makes it a very attractive business medium to many organizations. You can spread your message to the whole world in few clicks. Just a 140 character tweet is enough to show your emotions/sentiments/arguments etc. The Internet changed the way business is conducted in today’s business environment. Before, companies mainly focus on the product development. But now customer sentiment is much needed. Even before a product launches, executives meet to decide the fate based on current sentiments on the market. Now, every business is moving towards online community. More data driven decision making is coming into picture. From a business point of view, devices like dedicated servers allow your whole office remain connected 24/7. People communicate using VOIP based technologies sitting in different continents. In [1], authors showed that volume sophistication and information contents in an Internet-based information systems partially affect the extent of cost savings, financial performance, and service improvement.

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis [2]. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. One of the perennial problems with managing data — especially large quantities of data — has been the impact of latency. Latency is the delay within a system based on delays in execution of a task. Latency is an issue in every aspect of computing, including communications, data management, system performance, and more. To reduce, business moves towards distributed data processing systems. Distributed computing and parallel processing techniques can make a significant difference in the latency experienced by customers, suppliers, and partners. Many big data applications are dependent on low latency because of the big data requirements for speed and the volume and variety of the data.

Big giants like google ,twitter, facebook use mapreduce algorithms that process TB's of data in few seconds. The data distribution along with computing power distribution makes this task very scalable. On the MapReduce front, numerous efforts are under way. Probably the best-known is Apache Mahout,which provides a framework for executing many machine learning algorithms (mostly) on top of MapReduce. Other MapReduce-like systems include UC Berkeley’s Spark, the University of Washington’s HaLoop, Indiana University’s Twister, and Microsoft’s Project Dayton[3].

[1] Sangjae Lee. 2003. Business use of internet-based information systems: the case of Korea. Eur. J. Inf. Syst. 12, 3 (September 2003), 168-181. DOI=http://dx.doi.org/10.1057/palgrave.ejis.3000460

[2] http://www.sas.com/en_us/insights/big-data/what-is-big-data.html

[3] http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6188576

Related Questions

Navigate

• Browse (All)
• Browse I
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.