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Use either the MapR Sandbox Hue interface or the online demo at  http://demo.gethue.com to explore the tools and editors that Hue  provides. Try several different things - for example, explore Hive  queries, Oozie workflow examples, HBase tables, or anything else that  strikes your fancy.   In this forum, discuss your experience with Hue. Do you think Hue is  useful? Does it lower the barrier to entry for using ecosystem  components? Would you use it to do work, or would you prefer to directly  interact with the tools themselves?

At the end of Chapter 6, there are 5 questions.  Answer each question in a Word document and submit for grading. **Keep in mind that SafeAssign will be turned on so do your own work!!! By submitting this paper, you agree: (1) that you are submitting your paper to be used and stored as part of the SafeAssign™ services in accordance with the Blackboard Privacy Policy; (2) that your institution may use your paper in accordance with your institution's policies; and (3) that your use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates.

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1. Calculate the timing of password-guessing attacks: (a) If passwords are three uppercase alphabetic characters long, how much time would it take to determine a particular password, assuming that testing an individual password requires 5 seconds? How much time if testing requires 0.001 seconds? (b) Argue for a particular amount of time as the starting point for “secure.” That is, suppose an attacker plans to use a brute-force attack to determine a password. For what value of x (the total amount of time to try as many passwords as necessary) would the attacker find this attack prohibitively long? (c) If the cutoff between “insecure” and “secure” were x amount of time, how long would a secure password have to be? State and justify your assumptions regarding the character set from which the password is selected and the amount of time required to test a single password.   2. Describe each of the following four kinds of access control mechanisms in terms of (a) ease of determining authorized access during execution, (b) ease of adding access for a new subject, (c) ease of deleting access by a subject, and (d) ease of creating a new object to which all subjects by default have access. • per-subject access control list (that is, one list for each subject tells all the objects to which that subject has access) • per-object access control list (that is, one list for each object tells all the subjects who have access to that object) • access control matrix • capability 3. Design a protocol by which two mutually suspicious parties can authenticate each other. Your protocol should be usable the first time these parties try to authenticate each other. 4. List three reasons people might be reluctant to use biometrics for authentication. Can you think of ways to counter those objections?   5. If you forget your password for a website and you click [Forgot my password], sometimes the company sends you a new password by email but sometimes it sends you your old password by email. Compare these two cases in terms of vulnerability of the website owner.   6. Defeating authentication follows the method–opportunity–motive paradigm described in Chapter 1. Discuss how these three factors apply to an attack on authentication.   7. Suggest a source of some very long unpredictable numbers. Your source must be something that both the sender and receiver can readily access but that is not obvious to outsiders and not transmitted directly from sender to receiver.   8. Humans are said to be the weakest link in any security system. Give an example for each of the following: (a) a situation in which human failure could lead to a compromise of encrypted data (b) a situation in which human failure could lead to a compromise of identification and authentication (c) a situation in which human failure could lead to a compromise of access control.  9. Explain why hash collisions occur. That is, why must there always be two different plaintexts that have the same hash value?  10. What property of a hash function means that collisions are not a security problem? That is, why can an attacker not capitalize on collisions and change the underlying plaintext to another form whose value collides with the hash value of the original plaintext?

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3rd Normal Form 1.  For each of the following relations, indicate the normal form for that relation.  If the relation is not in third normal form, decompose it into 3NF relations.  Functional dependencies (other than those implied by the primary key) are shown where appropriate. a) CLASS(CourseNo, SectionNo)   b) CLASS(CourseNo, SectionNo, Room)   c) CLASS(CourseNo, SectionNo, Room, Capacity)         [FD: Room ---> Capacity]   d) CLASS(CourseNo, SectionNo, CourseName, Room, Capacity)        [FD:  CourseNo --> CourseName; FD: Room è Capacity]   2.  The below table contains sample data for parts and for vendors who supply these parts.  In discussing these data with users, we find that part numbers (but not description) uniquely identify parts and vendor names uniquely identify vendors.   Link to view table mentioned above at http://i.imgur.com/wBlODnQ.png     a)      Convert this table to a relation (named PART SUPPLIER) in first normal form.  Illustrate the relation with the sample data in the table   b)    List the functional dependencies in PART SUPPLIER and identify a candidate key.   c)     For the relation PART SUPPLIER, identify each of the following: an insert anomaly, a delete anomaly, and a modification anomaly.   d)    Draw a relational schema for PART SUPPLIER and show the functional dependencies.   e)     In what normal form is this relation?     f)     Develop a set of 3NF relations from PART SUPPLIER.   All of this is also attached!

Assignment 2 topics include z13 and z14 system hardware, I/O and storage technologies, memory and task management, virtualization and cloud computing, hands-on SDSF system information, JCL, Putty and USS. see Files 

read case study and answer corrosponding questions in APA format with REferences 9Q) Choose suitable sampling plans for creating multi- vari study charts. Interpret the results for positional, cyclical, and temporal variation. Apply sampling plans to examine the principal sources of variation. Q)Differentiate correlation from causation. Calculate the correlation coefficient and linear regression. Interpret the results through statistical significance (p-value), and utilize regression models for estimation and prediction. 10Q)    Identify and differentiate statistical from practical significance. Establish appropriate sample sizes, and create tests for significance level, power, and type I and type II errors. Q)Perform hypothesis tests to evaluate means, variances, and proportions (paired comparison t- test, F-test, analysis of variance (ANOVA), chi- square). Interpret the results.

MICROSOFT EXCEL To demonstrate your skill with Microsoft Excel, you’ll create two separate Excel files. SCENARIO Inventory and Payroll are two of the most common uses for Excel. For the first Excel file you will create an Inventory spreadsheet based on the given scenario. For the second excel spreadsheet you will create a payroll based ion the given scenario. The Inventory scenario is based on a fictitious custom bike builder. Of course, the data given for the scenario is a small sampling of what a shop’s inventory would be. The data represents an end of month quantity and is being used to determine, the balance on hand and which items need to be reorder, if any. The Payroll scenario is, of course, also just a snapshot of the calculations needed for a company’s payroll. In an Excel file named Inventory create three sheets named Inventory, Bikes_Made, and Items_Used. Input the data given here. (You should use the previous year for the date.) In addition to the columns given in the inventory data table, add three more columns on your sheet named Balance on Hand, Value of Inventory, and Reorder. Create a simple formula to calculate the Value of Inventory and complex formulas using the using the data from the three separate sheets to calculate the balance on hand whether the balance on hand is enough, or it is time to reorder the item. If it is time to reorder the item, the cell should contain the word REORDER and the cell should be filled with the color red. Enter the data listed below. INVENTORY: DATE RECEIVED, ITEM, COST, INVOICE OO 4/1/xx, 12 H Front Brakes, unit cost $3.75, invoice number RG970563 OO 4/4/20xx, 22 20”R Rims, unit cost $24.00, invoice number ED99123 OO 4/12/20xx, 75 front reflectors, unit cost $0.50, invoice number JEO1713 OO 4/12/20xx, 50 rear reflectors, unit cost $0.50, invoice number JEO1713 OO 4/21/20xx, 55 20”F Rims, unit cost $15.00, invoice number ED99455 OO 4/13/20xx, 210 32 teeth sprockets, unit cost $14.25, invoice number SC831 OO 4/23/20xx, 180 36 teeth sprockets, unit cost $28.00, invoice number SC831 OO 4/25/20xx, 25 white seats, unit cost $8.00, invoice number WT389 © PENN FOSTER, INC. 2016 COMPUTER APPLICATIONS PAGE 6 Challenge Assessment   Enter the following data: Bikes Made OO MX100 OJanuary 12 OFebruary 15 OMarch 20 OApril 24 OMay 30 OO MX2000 OJanuary 11 OFebruary 10 OMarch 11 OApril 12 OMay 14 Enter the following data: Number of Items Used on Each Bike OO MX100 OH. Front Breaks 1 O20”R Rims 1 OFront Reflectors 1 ORear Reflectors 1 O20” F Rims 1 O32 Teeth Sprockets 2 O36 Teeth Sprockets 0 OWhite Seats 1 ONobbie Tires 0 ORegular Tires 2 © PENN FOSTER, INC. 2016 COMPUTER APPLICATIONS PAGE 7 Challenge Assessment   OO MX200 OH. Front Breaks 1 O20”R Rims 1 OFront Reflectors 1 ORear Reflectors 1 O20” F Rims 1 O32 Teeth Sprockets 0 O36 Teeth Sprockets 2 OWhite Seats 1 ONobbie Tires 2 ORegular Tires 0 OO Reorder Point OH. Front Breaks 150 O20”R Rims 250 OFront Reflectors 500 ORear Reflectors 500 O20” F Rims 250 O32 Teeth Sprockets 250 O36 Teeth Sprockets 250 OWhite Seats 150 ONobbie Tires 100 ORegular Tires 100 PAYROLL Create an Excel spreadsheet named Payroll. Columns: Name, class, clock hours, gross earnings, health deductions, pension annuity, general deductions, and net earnings. The spreadsheet should show a grand total for clock hours, gross earnings, health deductions, pension annuity, general deductions, and net earnings. © PENN FOSTER, INC. 2016 COMPUTER APPLICATIONS PAGE 8 Challenge Assessment   Ten employees with three different classes: Journeyman (1), Apprentice(2), and Welder Cleanup(3). Enter the following data (name, class, clock hours, gross earnings): James, Jerry Marks, Thomas Stem, Oliver Thompson, Randy Summers, John Larson, David Peterson, Michael Clark, Lewis Custer, George O’Hare, Brutus 1 160 1 160 1 140 1 165 1 170 1 145.5 2 160 2 175 2 120.5 3 80 $3,200.00 $3,200.00 $2,800.00 $3,3550.00 $3,500.00 $2,910.00 $2,400.00 $2,700.00 $1,807.50 $960.00 Health deductions: contributions from all employees are calculated at $2.50 per hour worked. Pension annuity deduction: contributions for Journeyman are calculated at $1.00 per hour worked and Apprentices are computed at $0.50 per hour worked. Welder Cleanup employees do not have a pension. General deduction is 3% of gross earnings. Each deduction amount should be entered into an individual labeled cell on the spreadsheet.  © PENN FOSTER, INC. 2016 COMPUTER APPLICATIONS PAGE 

  Assignment Content Imagine you work for an independent grocery store with 20 employees. The business owner has tasked you with creating a relational database that will track employee names, IDs, positions (e.g., cashier, manager, clerk, or night crew), and salaries. Create a relational database table in Microsoft® Excel® for the grocery store using the provided data points. Apply the universal rules (unique primary keys, unique column names, no duplicate rows) to your table. Include all necessary null values. Display in the table the requested database queries: INSERT IGNORE INTO Account: VALUES (188820, ‘Wendall Glass’, $12/h) UPDATE Account: Set salary = $12/h WHERE ID = 128872 DELETE FROM Account WHERE ID = 244332 Calculate the grocery store’s SUM salary and the AVG salary per position.    Data Points 1. Blanche Dishner – 438927 - Manager - $25/h  2. 372991 – Night crew - $17/h 3. Luciano Sloney – 300126 – Night crew - $17/h 4. Dorris Goodsell – Cashier - $15/h 5. Sybil Fain – 119325 – Clerk - $11/h 6. Shaun McNeil – 200743 – Cashier - $13/h 7. Olen Wigley – 222345 – Cashier - $14/h 8. Dovie Seawood – 109321 – Clerk - $12/h 9. Magdalen Mullaney – 256921 – Cashier 10. Salena Souza – 185549 – Clerk - $12/h 11. Paige Alvarez - 132943 – Clerk - $11/h 12. Cassy Lundin – 391285 – Night crew 13. Tajuana Stoval - 491621 – Manager – $23/h 14. Joaquina Piasecki – 185392 – Clerk - $13/h 15. Janiece Abelson – 244332 – Cashier - $13/h 16. Rogelio Peppler – 128872 – Clerk - $11/h 17. Fatima Haymaker – 100321 - $13/h 18. Rico Fairbank – 318821 – Night crew - $16/h 19. Trey Peloquin – 488326 – Manager - $24/h  20. Paulene Thibeau – 193931 – Clerk - $12/h