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CIS 415 Unit 3 DB: Big Data

 1 page apa format

Retailers are known for collecting huge amounts of customer data.  Considering the three characteristics of big data (volume, velocity, and variety), what do you think are some of the challenges that apply to the process?

In response to your peers, offer and support a different position.  Make sure you articulate sufficiently and possibly support your arguments with some research.

IBM cloud DB2 assignment

After you have complete the IBM DB2 tutorial, use the image below to create a voice tutorial using screencast-o- matic.  The tutorial should explain how to create a DB2 database using IBM’s cloud.   Please note, you must use the IBM cloud account you created in week one.  

Big Data Analytics and Business Intelligence

Big Data Analytics and Business Intelligence in a Fortune 1000 (Walmart) Company Literature Review

We have discussed how businesses have integrated Big Data Analytics with their Business Intelligence to gain dominance within their respective industry. Search the Google Scholar for Walmart that has been successful in this integration. 

Conduct a literature review of big data analytics with business intelligence within the Walmart company you researched. In your literature review, you will include details about the Walmart you researched, including its approach to big data analytics with business intelligence, what they are doing right, what they are doing wrong, and how they can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence.

You are to review the literature on Big Data Analytics and business intelligence for Walmart company. Discuss problems and gaps that have been identified in the literature. You will expand on the issue and how researchers have attempted to examine that issue by collecting data – you are NOT collecting data, just reporting on how researchers did their collection.

Paper Layout:

1. Title Page

2. Table of contents:

Use a Microsoft Enabled Table of Contents feature.

3. Background:

Describe Walmart the Fortune 1000 company, discuss the problem, and elaborate on their big data analytics and business intelligence approaches. Be sure to include what they are doing right and what they are doing wrong.

4. Research Questions:

For our topic of big data analytics and business intelligence, what were the research questions that were asked? Be sure to include main research questions from all the literature you are reviewing.

5. Methodology:

What approach did the researcher use, qualitative, quantitative, survey, case study? Describe the population that was chosen. You will discuss the methodology for all the literature you are reviewing.

6. Data Analysis:

What were some of the findings, for example, if there were any hypotheses asked, were they supported?

7. Conclusions:

What was the conclusion of any data collections, e.g., were research questions answered, were hypotheses supported? Be sure to also include how Walmart the Fortune 1000 company can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence.

Paper requirements:

Be a minimum of 8 pages in length, not including the required cover page and reference pages.

Follow APA 7 guidelines. Be sure to conduct research on formatting literature reviews.

Your literature review should include a minimum of 8 scholarly peer-reviewed journal articles. 

Be clear and well-written, concise, and logical, using excellent grammar and style techniques. 

9.11 LAB

 

9.11 LAB: Car Value (classes)

Complete the Car class by creating an attribute purchase_price (type int) and the method print_info() that outputs the car’s information.

Ex: If the input is:

2011

18000

2018

where 2011 is the car’s model year, 18000 is the purchase price, and 2018 is the current year, then print_info() outputs:

Car’s information:

Model year: 2011

Purchase price: 18000

Current value: 5770

Note: print_info() should use three spaces for indentation.

class Car:
def __init__(self):
self.model_year = 0
# TODO: Declare purchase_price attribute

self.current_value = 0

def calc_current_value(self, current_year):
depreciation_rate = 0.15
# Car depreciation formula
car_age = current_year – self.model_year
self.current_value = round(self.purchase_price * (1 – depreciation_rate) ** car_age)

# TODO: Define print_info() method to output model_year, purchase_price, and current_value

if __name__ == “__main__”:
year = int(input())
price = int(input())
current_year = int(input())

my_car = Car()
my_car.model_year = year
my_car.purchase_price = price
my_car.calc_current_value(current_year)
my_car.print_info()

Nmap scanning tool

 Make the presentation on port scan tool ” Nmap scanning tool “

 explain everything on it  

10 PAGES NOT INCLUDING TITLE AND REF PAGES

EX16_AC_COMP_GRADER_CAP_HW – Drivers and Insurance

EX16_AC_COMP_GRADER_CAP_HW – Drivers and Insurance

  

EX16_AC_COMP_GRADER_CAP_HW – Drivers and Insurance

Project Description:

In this project, you will add fields to a table and set data validation rules. You will also import a text file into a database, design advanced queries, and create a navigation form. Additionally, you will use SQL to modify a record source and create an embedded macro to automate opening a report.

     

Start   Access. Open the file named exploring_acap_grader_h1_Drivers.accdb.   Save the database as exploring_acap_grader_h1_Drivers_LastFirst.

 

Create   a table in the database by importing the downloaded delimited text file named   Insurance_Text.txt. Use the first   row of the file as field names, use InsuranceID as the primary key, and then   name the table InsuranceCos_Text.   Accept all other default options. Do not save the import steps.

 

Create   a new field in the Agency Info table after InsPhone named Web site with the Hyperlink
  data type. Save the table. In Datasheet view, add the website http://William_Smith.com to the
William Smith record (Record 1).

 

Create   a new field in the Agency Info table after Web site named AgentPhoto with the Attachment data type. Save   the table. In Datasheet view for Record 1 (William Smith), add the downloaded picture file named a00c2WmSmith.jpg to the AgentPhoto   field.

 

Set   the validation rule of the InsuranceCo field to accept the values AS, NAT,   or SF only. Set the validation text to read Please enter AS, NAT, or SF. (include the period).

 

Make   InsuranceCo a lookup field in the Agency Info table. Set the lookup to get   values from the InsuranceID field in the InsuranceCos_Text table. Accept all   other defaults and save the table. In   Datasheet view, click in any InsuranceCo cell and click the arrow to view the   options. Close the table.

 

Create   a new query using Design view. From the Insurance table, add the DriverID,   AutoType, TagID, and TagExpiration fields (in that order). Save the query as Missing Tag Dates.

 

Set   the criteria in the TagExpiration field to find null values. Run the query   (two records will display). Save and close the query.

 

Create   a new query using Design view. From the Drivers table, add the Class field.   Change the query type to Update and set the criteria to update drivers whose   class is Minor   to Junior. Run the query (eight records will   update). Save the query as Driver Class_Update   and close the query. View the updates in the Drivers table and close the   table.

 

Create   a new query using Design view. From the Drivers table, add the Class field.   Save the query as Driver Class_Delete.

 

Change   the query type to Delete and set the criteria to delete drivers whose class   is Special. Run the query (one record will be   deleted). Save and close the query. View the changes in the Drivers table and   close the table.

 

Create   a new query using Design view. From the Insurance table, add the DriverID,   AutoType, AutoYear, and TagID fields (in that order). Save the query as Auto Year_Parameter.

 

Set   the criteria in the Auto Year field to display the prompt as Enter the auto year: and run the query. In the prompt,   enter 2007 and click OK to view the results (two   records). Save and close the query.

 

Use   the Analyze Performance tool to analyze the Drivers table. Note the idea to   change the data type of the Weight field from Short Text to Long Integer. In   the Drivers table, set the data type of the Weight field to Number (Long   Integer), and save and close the table.

 

Create   a Navigation form based on the Vertical Tabs, Left template. Drag and drop   the Drivers form onto the first tab of the form. Drop the Insurance form onto   the second tab.

 

Drag   and drop the Drivers report onto the third tab of the Navigation form. View   the form in Form view, click each of the tabs, and then save the form as Navigator. Close the form.

 

Open   the Drivers report in Design view. Modify the record source of the report   using a SQL statement to select all Drivers   records with a Class   of Adult. Print Preview the report (eight   records will display). Save and close the report.

 

Open   the Drivers form in Design view, click to add a command button at the   intersection of the 6-inch mark on the horizontal ruler and the 3-inch mark   on the vertical ruler.

 

Set   the command button to open the report named Drivers. Use the default picture   as the button. Set the name and the caption properties of the button to Open Drivers Report. Save the form. View the form in Form   view, and click the command button.

 

Close   all database objects, close the database, and then exit Access. Submit the   database as directed.

IT – Caveats of Analytics and AI

1. Some say that analytics, in general, dehumanize managerial activities, and others say they do not. Discuss arguments for both points of view.

2. What are some of the major privacy concerns in employing intelligent systems on mobile data?

3. Identify some cases of violations of user privacy from current literature and their impact on data science as a profession.

4. Search the Internet to find examples of how intelligent systems can facilitate activities such as empowerment, mass customization, and teamwork.

Answer above questions in APA format,  In-text citations, at least 5 most recent references, 900+ words.