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1 page in APA 6th Format on performance management with at least one scholarly (peer-reviewed) resource and NO PLAGIARISM.

1. Discuss what performance management is and how it influences effective teams.
2. Review table 11.1, define leadership behaviors (in your own words) and note which behaviors are beneficial at specific organizational activities (example: project planning, leading coworkers, etc…).  Please note at least five organizational activities and be specific when responding.
3. Note at least two organizational capabilities and compare and contrast each.

 Your answers to all five questions must be in the Answers worksheet of the Ad Bids workbook that you downloaded from Blackboard. In addition, your Excel model coming up with the answers for each of the five questions should be on the appropriate worksheet in the Ad Bids workbook 

   Try to find a quantitative, a qualitative and a  mixed-method dissertation that may be closely related to   Cloud migration and data security as key indicator in e-commerce and business success topic. Describe the method used, the sample, the population chosen, was there a survey involved, or a set of questions asked as in a qualitative study. Finally, can you identify the problem the dissertation tried to examine.   

his week’s written activity is a three- part activity. You will respond to three separate prompts but prepare your paper as one research paper. Be sure to include at least one UC library source per prompt, in addition to your textbook (which means you’ll have at least 4 sources cited). 

Start your paper with an introductory paragraph.

Prompt 1 “Data Warehouse Architecture” (2-3 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” (2-3 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” (2-3 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. You can find examples in the UC Library.

Conclude your paper with a detailed conclusion section. 

The paper needs to be approximately 7-10 pages long, including both a title page and a references page (for a total of 9-12 pages). Be sure to use proper APA formatting and citations to avoid plagiarism.

Your paper should meet the following requirements:

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

• Follow APA7 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, in addition to your textbook. The UC Library is a great place to find supplemental resources.

• 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.

I have 3 projects for this class whoever gives me a good price and does a good job get the other 2 project because they build on each other.

FOLLOW THE RUBRIC

FOLLOW THE INSTRUCTION

ASK ME QUESTIONS

GOOD GRAMMAR

Set up your project with the given starting code. The files should compile and run, but either no tests will be run, or tests will run but be failing. 2. For this project, start by uncommenting the first TEST_CASE in the assg10-tests.cpp file. These are the unit tests to test the functionality of your PriorityQueue enqueue() function, the class and overridden member function you are to implement. 3. Add the PriorityQueue class to the Queue.hpp header file. The class should inherit from LQueue and override the enqueue() method as described in more detail below. 4. Add a stub for your enqueue() member function to the assg07-stackfun.cpp implementation file. You could start by doing nothing, or by copying the code of the enqueue() function from the LQueue class. 5. Your code should compile and run now. Make sure after adding the class and your stub method your code compiles and runs. However, your unit tests will be failing initially. 6. Incrementally implement the functionality of your enqueue() member function. You should try to add no more than 2 or 3 lines of code, and then make sure your program still compiles and runs. Start by adding code to get the first failing test to pass. Then once that test passes, move on to the next failing tests until you have all tests passing. If you write something that causes a previously passing test to fail, you should stop and figure out why, and either fix it so that the original test still passes, or remove what you did and try a new approach. 7. Once you have the enqueue() member function implemented and all unit tests passing, you should then move on to the other functions in the order suggested. Some functions use previous ones in this assignment, so do them in the order given for you in the tasks below.

 
Discuss  500 words or more discuss why Security as a Service is a good investment. 

NF 160 Introduction to Data Science

Twitter Data Analysis

Due Date: Nov 5, 2020

Points: 22

Objective:

Examine students’ ability to create Twitter applications in order to download tweets by using the R platform for data science projects.

Tasks:

Students will create a Twitter application for scraping tweets by using the R platform. They will use this application to download a total of 200 tweets by searching with their chosen hashtag and from a user profile. The first 100 tweets will be collected by using a student-chosen hashtag/keyword and the rest 100 tweets will be collected from a student-chosen Twitter user profile.

Deliverables:

Two files:

• One word processing/PDF file explaining the steps of Twitter application creation
• The RStudio file that contains codes for Twitter data collection 

Submission:

Upload both of these files in Canvas Assignment section.

Points and Rubrics:

Word Processing/PDF file:

• The word processing/PDF file explaining the steps of Twitter application creation will get a maximum of 5 points
• Inclusion of comprehensive application creation steps will get a maximum of 5 points
• Inclusion of minimal application creation steps will get a maximum of 3 points
• No explanation of Twitter application creation will get 0 point

RStudio File:

• The RStudio file will get a maximum of 6 points
• 150-199 tweets comprising of a hashtag and user profile will get 5 points
• 50-149 tweets comprising of a hashtag and use profile will get 3 points
• Less than 50 tweets comprising of a hashtag and user profile will get 2 points
• No tweet will get 0 points

Computer Networking and Machine Learning

Question is in the file, just two questions but need to be down by 10pm today. The book is uploaded.

thanks for helping.