Dis-350 words

 

Carefully review and use either of the book options below as a reference for various aspects of analytics.

  • Sharda, R., Delen, D., & Turban, E. (2015) Business intelligence and analytics: Systems for decision support (10th ed.). Boston: Pearson. Print: ISBN-13: 978-0-13-305090-5
  • Sharda, R., Delen, D., & Turban, E. (2020) Analytics, data science, & artificial intelligence: Systems for decision support (11th ed.). Boston: Pearson. Print: ISBN-13: 978-0-13-519201-6

 

After reading and analyzing content from book references and or from outside research, select “one” of the research options below and respond.

  • Go to www.IBM.com and find at least three customer case studies on Big Data and write a report where you discuss the commonalities and differences of these cases.
  • Go to www.cloudera.com and find at least three customer case studies on Hadoop implementation, and write a report where you discuss the commonalities and differences of these cases.
  • Go to www.google.com/scholar, and search for articles on stream analytics. Find at least three related articles. Read and summarize your findings.
  • Go to www.google.com/scholar, and search for articles on data stream mining. Find at least three related articles. Read and summarize your findings.
  • Go to www.google.com/scholar, and search for articles that talk about Big Data versus data warehousing. Find at least five articles. Read and summarize your findings.

Sampling

 The most common sampling method is the convenience sample; therefore, many of the studies that you find for evidence use this sampling method. What are the implications of using a convenience sample on the way that you interpret and use the findings? 

Paper

Start your paper with an introductory paragraph.

Prompt 1 “Data Warehouse Architecture” (2 pages): Explain the major components of a data warehouse architecture, including the various forms of data transformations needed to prepare data for a data warehouse. Also, describe in your own words current key trends in data warehousing. 

Prompt 2 “Big Data” (1-2 pages): Describe your understanding of big data and give an example of how you’ve seen big data used either personally or professionally. In your view, what demands is big data placing on organizations and data management technology? 

Prompt 3 “Green Computing” (1-2 pages):  One of our topics in Chapter 13 surrounds IT Green Computing. The need for green computing is becoming more obvious considering the amount of power needed to drive our computers, servers, routers, switches, and data centers. Discuss ways in which organizations can make their data centers “green”. In your discussion, find an example of an organization that has already implemented IT green computing strategies successfully. Discuss that organization and share your link. 

Conclude your paper with a detailed conclusion section. 

The paper needs to be 5 pages long, not including both a title page and a references page (for a total of 7 pages). Be sure to use proper APA formatting and citations to avoid plagiarism.

Your paper should meet the following requirements:

• Be approximately 5 pages in length, not including the required cover page and reference page.

• Follow APA6 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.

• Support your answers with the readings from the course, the course textbook, and at least three scholarly journal articles to support your positions, claims, and observations. 

• Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Research Paper

The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data.

For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things.

Your paper should meet the following requirements:

• Be approximately 3-5 pages in length, not including the required cover page and reference page.

• Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.

• Support your response with the readings from the course and at least five peer-reviewed articles or scholarly journals to support your positions, claims, and observations.  The UC Library is a great place to find resources.

• Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

GPU Databases (Kinetica, SQream, BlazingDB, Omnisci etc)

 Hi,

I want a Power point Presentation(PPT) with 25 Slides which needs to cover below questions, I have already mentioned Title of Topic on Above.

Need to cover these Questions on Presentation:

  1. What are the key database products made by the vendor OR the key database platforms available under the database category (pick at least three for this presentation)
  2. If a vendor, who are the competitors to the platform? If a database technology class, who is the clear leader and why?
  3. What industries are these database vendor tools or database technology platforms used in? Is the market increasing or decreasing for technology?
  4. What are the key features for each of these database platforms? What are differentiators compared to other database platforms in its like-kind class?
  5. Are these databases used on-premise only? Cloud-based only? Mainframe only? Explain the infrastructure use case for each of these databases that you are discussing. 
  6. Provide three (3) business uses for why a customer/client would want to use your vendors/class of database technology in their environment.
  7. What are key technical skills a data administrator or database administrator would require if they use this platform?
  8. Where do you believe this technology will be in 3-5 years?

Instructions to make PPT:

 The presentation should be a MINIMUM of 15 slides (including Cover and References). The deck should NOT EXCEED 25 pages. 

  • You should make the presentation for an executive audience. That means, Times New Roman or Arial Font Face, Size 14-18 for text. Size 20-24 for headers. (20% of your grade is presentational design)
  • Graphics are essential. A minimum of 8-10 graphics should be included that are meaningful. Custom graphics/tables are preferred!
  • If you put figures or tables in your slides, you have to make your own tables and figures. Please don’t copy and paste it from the reference.
  • Your first page should include your group member’s name, date, title, and course name.
  • Clearly, concise well written presentations are essential. Grammar/Spelling count for 10% of your grade. 
  • Each slides should include a minimum of one reference. (You need to reference your source material for each slide in APA format).
  • Following APA is a strict requirement. 

Discussion1

Answer the following the question:

We live in a world of data, perhaps too much data. Organizations continue to store data indefinitely. In fact, about 90% of the data stored on todays databases is deemed worthless within 3 months. Think about your email. How often do you ever go back to an email from six months ago. But you still keep it for what? How should organizations government personal data in a data warehouse? What are some best practices you might suggest to your organization if you were the CIO to ensure that the data in the system was maintained properly?

Instructions

  • This is a required assignment, worth 15 points. The assignment must be submitted by the due date. Late assignment are not allowed. 
  • You are required to submit a minimum of two postings. Points will be deducted for not fulfilling this minimum requirement.
  • Apply and use the basic citation styles of APA is required. Points are deducted per the rubric for this behavior.
  • Do not claim credit for the words, ideas, and concepts of others. Use in-text citation and list the reference of your supporting source following APA’s style and formatting. Points are deducted per the rubric for this behavior.
  • Do not copy and paste information or concepts from the Internet and claim that is your work. It will be considered Plagiarism and you will receive zero for your work. A second offense results in a zero for the course. A third is termination from the university.

Python Data Analytics Project

THE PROCESS

1. SELECT a domain area of research (COVID-19 related) *Please chat with me for pre-approval

2.  FORMULATE a problem statement & hypothesis. describe the problem in details you wish to explore.

3. FRAME the question(s) according to your domain

a. Understand A Business

b. Understand A Stakeholders

4. OBTAIN data for your project 

a. Describe the Data: Information about the dataset itself, e.g., the attributes and attribute types, the number of instances, your target variable. 

5. SCRUB the data, this includes cleaning and preparing the data for analytic purposes

6. ANALYZE the data, looking for patterns and insights (EDA & Analytics) *Use Jupyter Notebook

7. SUMMARIZE your findings

research paper

 

Update your paper to address the course concepts that have been covered cin IT governance- as they are applicable to your specific industry, to your specific company.  

TIPS – Week 13 Research Paper: Milestone 3 Draft

Example:

•  Week 13Draft incorporating the required content (25 pts.)

1. Program and technology recommendations. This will include your comprehensive description of the industry, your annotated bibliography and the following:

2. Metrics

3. Data that matters to the executives in that industry, the roles for those executives, and some methods for getting this data into their hands.

4. Regulatory, security, and privacy compliance expectations for your company

5. Email and social media strategy

6. Cloud Computing strategy

3-1 Discussion: Network Architecture Essentials

Please see the below discussion topic.  The response should be at least three paragraphs with up to 2 citations. 

In today’s world of network architecture and the process by which companies communicate with their employees and their customers, it is important to fully understand the weaknesses and strengths of the architecture. Consider an example of a real-word company, whether it be from your own work experience or even a business you may shop through (e.g., Amazon). Evaluate your knowledge of that company and discuss the following items:

  • Describe the communication methods applied (e.g., email, chat)
  • Elaborate on a personal experience you have had with a network connection that has left you avoiding this site or company based on its inability to provide reliable connectivity for its service. 

3-1 Discussion: Network A