Algebra Question Mathematics Assignment Help

I often hear people talking about parallel computing and distributed computing, but I’m under the impression that there is no clear boundary between the 2, and people tend to confuse that pretty easily, while I believe it is very different:

Parallel computing is more tightly coupled to multi-threading, or how to make full use of a single CPU.
Distributed computing refers to the notion of divide and conquer, executing sub-tasks on different machines and then merging the results.

However, since we stepped into the Big Data era, it seems the distinction is indeed melting, and most systems today use a combination of parallel and distributed computing.

An example I use in my day-to-day job is Hadoop with the Map/Reduce paradigm, a clearly distributed system with workers executing tasks on different machines, but also taking full advantage of each machine with some parallel computing.

I would like to get some advice to understand how exactly to make the distinction in today’s world, and if we can still talk about parallel computing or there is no longer a clear distinction. To me it seems distributed computing has grown a lot over the past years, while parallel computing seems to stagnate, which could probably explain why I hear much more talking about distributing computations than parallelizing.

Christopher Ahlberg, CEO of Recorded Future (RF) has a decision to make about the direction of his company. Recorded Future’s “temporal analytics engine” is a set of quantitative and visualization tools that could help predict future events from past events recorded on websites, blogs, Twitter and other public sources. In the past RF had used its tools for governmental and financial services organizations, using each organization’s private data. Now Ahlberg is considering joining a number of other companies in the multi-billion dollar consumer data broker industry. He’s considering the creation of a set of standardized (versus bespoke), Software as a Service applications, using a stockpile of public data, and consumer records. This data will be used to predict consumer or crowd behavior.’

Choose one answer A-D for each question and eplain thuroughly.

1. Which of these sources of this industry’s power is most responsible for these predictive capabilities? Be sure to justify your choice.
A. The rise of “Social Media” throughout the modern world
B. Moore’s Law and the availability of cheap computing power
C. Big Data tools such as Hadoop
D. Inexpensive storage of huge amounts of data
E. Availability of broadband telecommunications capability throughout the modern world

2. Choosing from options in question 1, which of the sources of the data broker industry’s power is least responsible for the power to predict consumer or crowd behavior?

3. Read through the “Predicting Crowd Behavior…” paper (Do not worry about the math and statistics in the case. Just make note of the events and details that could be predicted). What do you think is the future of such predictive capabilities? Be sure to justify your choice.
A. It will be possible to predict all major political events
B. We are only really able to see these predictive events in hindsight
C. Like the movie “Minority Report” we will be able to prevent future crimes
D. One day the use of social media will fade, and with it, the power to predict crowd behavior

Open Source project / PowerPoint

Research an open source software project. Examples of open source projects are listed:
Open Office (a Microsoft Office look-alike)
Firefox (a browser)
MySQL (a DBMS)
Apache (a web server)
Ubuntu
Android
Cassandra
Hadoop
In MS PowerPoint, create a presentation with slides that describe the open source software and how it works. Discuss the role this open source software has in management information systems.
Remember, management information systems is the management and use of information systems that help organizations achieve their strategies (page 10 of your textbook (David Kroneke, 2015. Using MIS 2014 (7th ed.).
Your PowerPoint must have a minimum of four slides. Be sure to use the 7X7 rule in PowerPoint: no more than 7 lines per slide and no more than 7 words per line. Use of images, graphics, and diagrams is encouraged. Be sure to include your sources on a references slide in APA format.

Need just the psuedocode for the below question:

The output of this job is a file full of words and the number of appearances they make in the file, something like this:

apple 1
 

banana 2
 

cake  4

For this assignment, create a MapReduce job that will read a file full of words and discover if any of the words are anagrams of each other. (such asopusandsoup)

If you can write the actual program to do this, do so – either in Java or in some other language using Hadoop Streaming. If you do not have the programming background, you can simply write pseudocode describing the function of the Map and Reduce functions of such a job.