Computer Science Question Computer Science Assignment Help

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.’

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.

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.

It is common knowledge that in today’s business environment, organizations must continually strive to achieve a competitive advantage. Likewise, they are reliant on large amounts of data to make their business decisions.

From the article below, explain the key way(s) in which your selected organization / agency uses business intelligence in order to gain a competitive advantage. Next, speculate on the technological limitations regarding data, software, and hardware that you believe might challenge your chosen organization / agency in the future. Provide a rationale for your response.

Thai Law Enforcement Agency Optimizes Investigations with Big Data Solution

“With the traditional approach, it took two years to search for tips and gather and analyze data. With the Microsoft Big Data solution, it took only 15 days.” Police Colonel Yannaphon Youngyuen, Department of Special Investigation, Ministry of Justice, Thailand

Established to handle major criminal investigations, the Department of Special Investigation (DSI) in Thailand, needed better tools for mining large sets of structured and unstructured data. To improve investigation processes and reduce manual procedures, DSI implemented a Microsoft Big Data solution based on Microsoft SQL Server 2012 and Apache Hadoop software. Investigating officers work more efficiently with selfservice business intelligence (BI) tools. And with better BI and data management capabilities, the agency has improved accuracy and shortened the time to investigate criminal cases from two years to 15 days. Next, DSI plans to expand its use of the solution and implement its own private cloud to manage the security of confidential data.