Search for Articles on Stream Analytics

Research the following two topics in Google Scholar, ProQuest, or EBSCOhost and summarize your research findings as indicated below.
Go to Google Scholar and search for articles on stream analytics. Find at least two business-related articles published in the last five years. Read and summarize your findings in 2 to 3 pages (500 to 750 words), excluding references. Your findings should include a summary of your selected articles, how they are related to stream analytics, how they discuss the benefits or issues of using stream analytics, and any other reflection you have.
Go to Google Scholar and search for articles on stream mining. Find at least two business-related articles published in the last five years. Read and summarize your findings in 2 to 3 pages (500 to 750 words), excluding references. Your findings should include a summary of your selected articles, how they are related to stream mining, how they discuss the benefits or issues of using stream mining, and any other reflection you have.

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

This assignment requires you to research two topics—stream analytics and stream mining—by finding business-related articles in Google Scholar, ProQuest, or EBSCOhost. Here’s how you can approach the task to summarize your findings clearly and effectively.

Step 1: Search for Articles on Stream Analytics

A. Go to Google Scholar:

• Visit Google Scholar.
• Use search terms like “stream analytics” combined with “business” or “real-time analytics” to find relevant articles.
• Filter the results to only include articles published in the last 5 years (you can use the time filter on Google Scholar).

B. Select at least two business-related articles:

• Browse through the search results and select two business-related articles. Make sure the articles discuss stream analytics in the context of business (e.g., improving customer service, business intelligence, real-time decision making).
• Make sure both articles are recent, published within the last five years.

C. Read and summarize the articles:

1. Summarize the article content:
   • What was the focus of each article?
   • What methodologies or case studies were discussed?
   • How are the articles related to stream analytics in a business context?
2. Benefits and Issues:
   • What are the benefits of using stream analytics as discussed in the articles? (e.g., faster decision-making, improved customer insights).
   • What are the challenges or issues mentioned? (e.g., data quality, resource-intensive processing).
3. Personal Reflection:
   • Do the articles align with your expectations of how stream analytics is used in business?
   • Do you see any potential improvements or challenges in applying stream analytics in real-world business scenarios?

Step 2: Search for Articles on Stream Mining

A. Go to Google Scholar again:

• Use search terms like “stream mining” combined with “business” or “real-time data mining” to find relevant articles.
• Filter results to articles published in the last 5 years.

B. Select at least two business-related articles:

• Browse the search results and select two business-related articles. These should cover stream mining in a business context (e.g., detecting trends, predictive analysis, etc.).

C. Read and summarize the articles:

1. Summarize the article content:
   • What is the focus of each article?
   • What methodologies or case studies are included?
   • How are these articles related to stream mining in business?
2. Benefits and Issues:
   • What are the benefits of using stream mining (e.g., improved predictions, handling large datasets in real-time)?
   • What are the issues or challenges (e.g., data complexity, processing time)?
3. Personal Reflection:
   • Do you agree with the benefits and issues discussed in the articles?
   • How might stream mining be implemented in business practice, and what could be improved?

Step 3: Organize Your Findings

For both topics (stream analytics and stream mining), you’ll write a 2-3 page summary (500-750 words each) of your findings. Follow this structure:

• Introduction: Provide a brief introduction to stream analytics and stream mining, including their importance in business.
• Article Summaries: Summarize each article in a few paragraphs, explaining the main points and how they relate to stream analytics or stream mining in business.
• Benefits and Issues: Highlight the key benefits and issues discussed in the articles for each topic.
• Conclusion/Reflection: Conclude with your personal reflections on the topic. Consider how the findings might influence the use of stream analytics and stream mining in business, and what challenges need to be addressed.

Step 4: Write and Submit Your Assignment

Once you have organized your findings for both topics:

1. Write out your summaries and reflections.
2. Proofread your work to ensure clarity, coherence, and proper academic writing.
3. Cite the articles you reviewed using the appropriate citation style (e.g., APA format).

By following these steps, you’ll be able to efficiently summarize your findings on stream analytics and stream mining while reflecting on their relevance and potential issues in business. Good luck with your research!

ORDER A SIMILAR PAPER NOW