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Give the formula for the conjugate base of each acid A.)HNO2 b) H2O2 Like H2O, HCO3− is amphoteric. (a) Give the formula for the conjugate acid of HCO3−.(b) Give theformula for the conjugate base of HCO3−. A.) B.) ...

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Database Project Charter/Business Case Khalia Hart University of Maryland Global Campus February 21, 2020 Introduction A database is an electronic collection of data that is built by a user so that they can access, update particular information in the database coherently or rapidly. Today firms employ integrated technology to increase their capacity to serve more clients, keep information well or effectively, organize activities according to the urgency or priorities, accounting records (Tüttelmann F, 2015). Most of the integrated technology depends on multiple databases that supply information relevant in making the decision. Since the business started using databases, their performance increase because the business decisions they make are sound and practical. Business Problem The supply chain management is one of the most complicated processes in the business and often at times due to need of detail it gets hard for the supply chain manager to keep the record of the work covered effectively, have enough data to make the decision and also have enough data to monitor the chain of operation (William, 2019). The supply chain has been so crucial for the business because it determines the performance of the company in the industry by assessing the quality of the product produced in the organization, cost of production, the time and effectiveness of distribution network, and overall production operation of the organization. Operation management has been named as the leading cause of business failure caused by a lack of a system, which the manager or the supervisor can use to monitor the whole system. This is the problem to solve using the database (William, 2019). Using a database, the manager can observe or watch the entire chain from their office, make better decisions by fore- planning approach of the database also make changes within the system when there is the need to cut costs or making the process effective. Project Scope Most business organizations are spread in operation, and this is the challenge that makes the supply chain management complex (Tüttelmann F, 2015). This is because the chain is in different localities, and therefore, coordination of operation among the user or the workers becomes a challenge. Through the database system, the business will enjoy proper coordination using the wide Area Network (LAN). Through the LAN network, the company can link computers and cost-effectively share data and communication. Through this system, the company will have a connection and coordination of the processes within the organization. The number of connected devices will range from 10 to 1000, depending on the type of tools and system that is set to facilitate this connection. Goals and objectives of the system The purpose of the system that I want to install in the supply chain management is to; · Monitoring of the supply chain- the system will enable the manager to monitor the system and every process in the order (Gattor.

Database Project CharterBusiness CaseKhalia HartUnive.docx

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Databases selected: Multiple databases... Full Text (1223 words) Kraft Reformulates Oreo, Scores in China Julie Jargon. Wall Street Journal. (Eastern edition). New York, N.Y.: May 1, 2008. pg. B.1 Abstract (Summary) Kraft, the world's second largest food company by revenue, reported a 13% drop in first-quarter net income Wednesday because of high commodity costs and increased spending on product research and marketing. Television commercials showed kids twisting apart Oreo cookies, licking the cream center and dipping the chocolate cookie halves into glasses of milk. (c) 2008 Dow Jones & Company, Inc. Reproduced with permission of copyright owner. Further reproduction or distribution is prohibited without permission. Unlike its iconic American counterpart, the Oreo sold in China is frequently long, thin, four-layered and coated in chocolate. But both kinds of cookies have one important thing in common: They are now best sellers. The Oreo has long been the top-selling cookie in the U.S. market. But Kraft Foods Inc. had to reinvent the Oreo to make it sell well in the world's most populous nation. While Chinese Oreo sales represent a tiny fraction of Kraft's $37.2 billion in annual revenue, the cookie's journey in China exemplifies the kind of entrepreneurial transformation that Chief Executive Irene Rosenfeld is trying to spread throughout the food giant. Kraft, the world's second largest food company by revenue, reported a 13% drop in first-quarter net income Wednesday because of high commodity costs and increased spending on product research and marketing. Its international business, which now represents 40% of Kraft's revenue thanks to the company's recent acquisition of Groupe Danone's biscuits business, was a bright spot in the quarter, aided by the weak dollar. Kraft's profit in the European Union rose 48%, excluding special charges, and its profit in developing markets rose 57%. To try to increase growth at the company, Ms. Rosenfeld has been putting more power in the hands of Kraft's various business units around the globe, telling employees that decisions about Kraft products shouldn't all be made by people at the Northfield, Ill., headquarters. To take advantage of the European preference for dark chocolate, Kraft is introducing dark chocolate in Germany under its Milka brand. Research in Russia showed that consumers there like premium instant coffee, so Kraft is positioning its Carte Noire freeze-dried coffee as upscale by placing it at film festivals, fashion shows and operas. And in the Philippines, where iced tea is popular, Kraft last year launched iced-tea-flavored Tang. Ms. Rosenfeld has also been encouraging marketers to "reframe" product categories, no longer thinking, for example, that an Oreo has to be a round sandwich cookie. Oreos were first introduced in 1912 in the U.S., but it wasn't until 1996 that Kraft introduced Oreos to Chinese consumers. Nine years later, a makeover began. Shawn Warren, a 37-year-old .

Databases selected Multiple databases...Full Text (1223 .docx

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Database SystemsDesign, Implementation, and ManagementCo.docx

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DATABASE SYSTEMS DEVELOPMENT & IMPLEMENTATION PLAN 1 DATABASE SYSTEMS DEVELOPMENT & IMPLEMENTATION PLAN 19 Table of Contents 1. Database System Overview 3 1.1 Business Environment 3 1.2 Database system goals and objective 4 2. Entity Relationship Model 7 2.1 Proposed entities 7 2.2 Business rules 8 2.3 Entity–Relationship Model 9 2.3.1 Relationship Types 9 2.3.2 Normalization form 12 2.3.3 Benefit of using database design 14 3. Structured Query Language (SQL) Scripts 15 3.1 Data definition language (DDL) 15 3.2 Data manipulation language (DML) 16 3.3 SQL report 17 3.4 Benefit of using database queries 19 4. Database Administration Plan 20 5. Future Database System Implementation Plan 21 6. References 22 1. Database System Overview 1.1 Business Environment Office Depot, Inc is an American retail store company founded in 1986 and headquartered in Florida, United States. The company provides office and school supplies with 1400 retail stores and e-commerce sites. The supply includes everything to their customer like latest technology, core school and office supplies, printing and documenting service, furniture and other services like cell phone repair, tech and marketing service etc. Recently there were too many complaints from existing and new customer that the online site is super glitch and lagging. Another customer posted that the delivery did not come on the scheduled day. And they cannot track down the order because the website does not have tracking information. Also when the website is down, customer service cannot help to see the order details either and therefore, they feel it’s frustrating to order online and therefore want to cancel the order. One other customer posted in the website grievance section that the “label maker” showed available in the stock even though it was out of stock when verified with the customer service representative. With every product not in stock, we lose opportunity of sale which costs the store. This not only affect customer but also affect company. We are so dependent on the data, most of the time staff has to correct accounting report, sales estimates and invoice customer manually which is very time-consuming in an excel sheet. In order to solve above issues and avoid sales loss, Office Depot must have a database to store and maintain correct count of the products. This database will help inventory management i.e. tracking products, update inventory, find popular or less popular item, loss prevention, track inventory status and perform data mining. The staff can access this database via a computerized database. (Gerald H., Importance of inventory database retail)1.2 Database system goals and objective The mission of the company is to become number one retail company by creating inclusive environment and great shopping experience where both customer and employees are respected and valued. To achieve the retail store mission, we are committed to provide secure and robust data base system for ou.

DATABASE SYSTEMS DEVELOPMENT & IMPLEMENTATION PLAN1DATABASE SYS.docx

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Database Security Assessment Transcript You are a contracting officer's technical representative, a Security System Engineer, at a military hospital. Your department's leaders are adopting a new medical health care database management system. And they've tasked you to create a request for proposal for which different vendors will compete to build and provide to the hospital. A Request For Proposal, or RFP, is when an organization sends out a request for estimates on performing a function, delivering a technology, or providing a service or augmenting staff. RFPs are tailored to each endeavor but have common components and are important in the world of IT contracting and for procurement and acquisitions. To complete the RFP, you must determine the technical and security specifications for the system. You'll write the requirements for the overall system and also provide evaluation standards that will be used in rating the vendor's performance. Your learning will help you determine your system's requirements. As you discover methods of attack, you'll write prevention and remediation requirements for the vendor to perform. You must identify the different vulnerabilities the database should be hardened against. Modern healthcare systems incorporate databases for effective and efficient management of patient healthcare. Databases are vulnerable to cyberattacks and must be designed and built with security controls from the beginning of the life cycle. Although hardening the database early in the life cycle is better, security is often incorporated after deployment, forcing hospital and healthcare IT professionals to play catch-up. Database security requirements should be defined at the requirements stage of acquisition and procurement. System security engineers and other acquisition personnel can effectively assist vendors in building better healthcare database systems by specifying security requirements up front within the request for proposal (RFP). In this project, you will be developing an RFP for a new medical healthcare database management system. Parts of your deliverables will be developed through your learning lab. You will submit the following deliverables for this project: Deliverables • An RFP, about 10 to 12 pages, in the form of a double-spaced Word document with citations in APA format. The page count does not include figures, diagrams, tables, or citations. There is no penalty for using additional pages. Include a minimum of six references. Include a reference list with the report. • An MS-Excel spreadsheet with lab results. There are 11 steps in this project. You will begin with the workplace scenario and continue with Step 1: "Provide an Overview for Vendors." Step 1: Provide an Overview for Vendors As the contracting officer's technical representative (COTR), you are the liaison between your hospital and potential vendors. It is your duty to provide vendors with an overview of your organization. To do so, identify infor.

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Data: Hours Period Cycle Time 1 45 2 33 3 44 4 30 5 51 6 47 7 39 8 34 9 69 10 43 11 29 12 38 13 45 14 49 15 73 16 38 17 50 18 40 19 57 20 36 21 31 22 46 23 40 24 51 25 48 26 37 27 42 28 50 1. Calculate R-Bar? 2. Upper Control Limit for the Range? 3 Upper control limit for the individuals? 4 Lower control limit for the individuals? 5. What is the control chart telling you? 6. Is there adequate discrimination? .

Data.docx

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Database Design Mid Term Exam Spring 2020 Name: ____________________________ 1. What is a data model? A. method of storing files on a disk drive B. simple representation of complex real-world data structures C. name of system for designing software D. method of designing invoices for customers 2. A Relationship Database system consists of 3 parts: a client front end for sending information to a command processor, a middle tier that interprets user commands, and a management frame work for storing, organizing and securing data. a. True b. False 3. What are the 3 components of a table: A. Row, column, value B. Row, top, bottom C. Column, row, top D. Top, middle, end 4. What does the column represent in a table? a. Attribute of the table records b. A complete record in the table c. The system log from the database d. A list of database tables 5. What does a row in the table represent? a. A complete data record b. List of system logs c. A list of file systems on database server d. The primary keys from all the tables. 6. Which of the following is an example of data definition language (DDL)? a. UPDATE b. V$SYSLOG c. CREATE d. DETAIN 7 . Which of the following is an example of data manipulation language (DML)? A. SELECT B. ABORT C. GRANT D. REVOKE 8. A _______ key is an attribute that uniquely identifies a record in a table. 9. A _______ key is an attribute that is a primary key in one table and is used as a reference in a second table to establish a relationship between the two tables. 10. When running a ‘SELECT’ join, what is returned from the table: A. ROW B. Column C. single attribute D. all tables in the database 11. When running a ‘PROJECT’ join, what is returned from the table: A. COLUMN B. ROW C. Single Attribute D. a list of tables in the database 12. What are the 3 types of relationships commonly shown on an entity relationship diagram? A. 1 to 1 B. 1 to Many C. Many to Many D. All the above E. None of the above 13. What is an entity relationship diagram (ERD)? A. graphical representation of all entities in a database and how the entities are related b. list of the log files in the database. C. list of all the tablespace names in a database D. A diagram that shows how data is written to a physical disk drive. 14. The definition of an attribute in a table that has no value is: A. ZERO b. NULL c. ZILTCH D. NONE 15. A ____________ attribute can either be stored on retrieve on an ad hoc basis. 16. Briefly describe the advantages and disadvantages of storing a derived attribute? 17. A database can process many types of data classifications. Which of the following is not a data classification or architecture that databases can process: A. Structured B. Semi-structured C. undelimited D. Unstructured 18. The process by which functional/partial dependency and transitive dependency is removed from a database table is called: a. sharding b. normalization c. defragmentation d. reallocation .

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Database Justification Memo C reate a 1-page memo for the project stakeholder explaining why they should migrate towards a database driven application system rather than a static website. Discuss the benefits and drawbacks of the proposed changes AND Web Services Memo Create a 1-page memo to the project stakeholder on the importance of web services including security considerations, scalability, and compatibility. .

Database Justification MemoCreate a 1-page memo for the .docx

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Database Concept Maphttpwikieducator.orgCCNCCCN.docx

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Database Dump Script(Details of project in file)Mac1) O.docx

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Database Design 1. What is a data model? A. method of storing files on a disk drive B. simple representation of complex real-world data structures C. name of system for designing software D. method of designing invoices for customers 2. Which of the following are the most important elements of a security program for databases: a. Integrity, referential index, user rights b. Confidentiality. Integrity and Availability c. Availability, multi-master replication, high-bandwidth d. DBA, System Admin, and PMO 3. Suppose that you have a table with a number of product sales. The product code may repeat in the table as it is likely the same product could be sold multiple times. If you want to produce a list of the unique products that are sold, you could use which of the following keywords in the SELECT statement: A. LIKE B. ORDERED BY C. DISTINCT D. DIFFERENT 4. What does the column represent in a table? a. Attribute of the table records b. A complete record in the table c. The system log from the database d. A list of database tables 5. What does a row in the table represent? a. A complete data record b. List of system logs c. A list of file systems on database server d. The primary keys from all the tables. 6. Which of the following is an example of data definition language (DDL)? a. UPDATE b. V$SYSLOG c. CREATE d. DETAIN 7 . Which of the following is an example of data manipulation language (DML)? A. SELECT B. ABORT C. GRANT D. REVOKE 8. A _____________ key is an attribute that uniquely identifies a record in a table. 9. A _____________ key is an attribute that is a primary key in one table and is used as a reference in a second table to establish a relationship between the two tables. 10. When running a ‘SELECT’ join, what is returned from the table: A. ROW B. Column C. single attribute D. all tables in the database 11. When running a ‘PROJECT’ join, what is returned from the table: A. COLUMN B. ROW C. Single Attribute D. a list of tables in the database 12. What are the 3 types of relationships commonly shown on an entity relationship diagram? A. 1 to 1 B. 1 to Many C. Many to Many D. All the above E. None of the above 13. What is an entity relationship diagram (ERD)? A. graphical representation of all entities in a database and how the entities are related b. list of the log files in the database. C. list of all the tablespace names in a database D. A diagram that shows how data is written to a physical disk drive. 14. The definition of an attribute in a table that has no value is: A. ZERO b. NULL c. ZILTCH D. NONE 15. A __________ attribute can either be stored on retrieve on an ad hoc basis. 16. Which of the following is not considered a characteristic of distributed management systems: a. Concurrency Control b. Business intelligence c. Transaction management d. query optimization 17. A database can process many types of data classifications. Which of the following is not a data class.

Database Design 1. What is a data model A. method of sto.docx

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DataAGEGENDERETHNICMAJORSEMHOUSEGPAHRSNEWSPAPTVHRSSLEEPWEIGHTHEIGHTCARJOBUSBORNSTATEGREEKPMSMEDFEDSIBLINGSCALLDADRELMOMRELSIBRELFAMRELCLUBSVOLHOURSCLUBHRSDEGREEEFFORTSTUDYDIFFWRKOUTWOMOTPHYFITIMAGEWOPUBPHYFITIMPCALNUTRITIONHEALTHDECFRUITVEGSMOKEDRINKBLACKOUT201CaucHealth Management & Policy3On3.6152071105'3No0YesIN114413444432021B4121E342441000555131191CaucSPHS-S3Off3.53161281105'3Yes0YesPA2255274444000A464C144441000455121202CaucLaw and Public Policy3On3.551831161355'8No0YesIN21332123232712C371B432322500443112221CaucManagement7On3.6163481585'9Yes3.5YesIN1145364444329B452D241441670455121201LatinaArts Management3Off3.2172108.51105'1Yes0YesNJ22331104444000A4103C143341200441131232CaucSafty9Off3.3182981605'10Yes21YesIN2133184434009B363D333331000342122212CaucSpeech and Hearing5Off3.8418245.51505'9Yes0YesIN2344120344323020B4123D251442000555121201CaucSpeech and Hearing3Off3.861521.57.51505'4Yes0YesIN254523.53444109B483B232321500333122202African AmericanBusiness3Off312247.51805'11Yes0YesIN23423544441010B342E253443000322122212CaucMicrobiology5Off3.31711071255'9Yes0YesOH2155254333000C282E341231700433121201South AfricanManagement5Off2.95152381005'2Yes0NoNJ2135224234100A453A234121200343241211CaucNonprofit5Off3152471505'9Yes15YesIN22342714442100B4153D131241500344121201African AmericanHealth Admin5Off31511581505'4Yes25YesIN224534344412510B361B513321000121122211African AmericanComm Health7Off2.7141157.51805'2Yes0YesIN22145504434000A352A11244700232121191CaucBiology3On3.88142171215'3No0YesIN2355183444210.5C4403C343242000454112221Sri LankanExercise Science6Off3.4117227.51305'5No0NoSri Lanka21440144041020C4152D242441500454112201CaucEnvironmental Management3Off3.5212081405'3No10.5YesIN2545813424422B3173D242332500444112202CaucManagement3Off2.31512091606'0Yes0YesIN2124034404006A3124B343242500342121201YellowManagement4Off3.2152071155'2No0NoSichuan2125054414002A3153B33323300233112211CaucArts Management5Off2.91620.56.51446'3Yes20YesIN2243154444503A37.52A231332000444122201CaucManagement3Off3.5152381405'5No0YesIN21434503444101A4153C231331200443141211CaucExercise Science5Off3.621522181805'7Yes15 YesIN2243244433321B4353C222231400343122211CaucExercise Science5Off3.98142571705'10Yes0YesIN2133143424201C452B332441700342122202CaucExercise Sciene5Off3.61723082105'10Yes0YesIN21222103344000B4202C233322000445122201CaucArt History3Off3.5151261605'4Yes0YesIN2134234444201A372B132431300334121201CaucHuman Development & Family Studies3On3.6152981505'6Yes8YesIN21442104344013B473C5322318000333121212CaucManagement7Off3.51182781756'0Yes0NoSC1245254444201B453C542442000432122182CaucBSPA Management1On3.67154371405'10No0YesIN2355153434212B4251A232332200453122212CaucExercise Science5On3.5616294.52126'3Yes0YesIN1245274444213.511C4152D353443900443131201African AmericanNonprofit Management3Off3.215367.51345'4Yes10YesIN2322673444388B4103E24244300553221202CaucArts Administration3Off3.6172071405'10Yes0YesIN1154113333264A383B222221500433121211CaucHealth Admin5Off31511561455'5Yes5YesTX2344144444200B452D.

DataAGEGENDERETHNICMAJORSEMHOUSEGPAHRSNEWSPAPTVHRSSLEEPWEIGHTHEIGH.docx

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Database Administration * ObjectivesDiscuss the need for database administrationExplain the DBA’s responsibilities in formulating and enforcing database policies for access privileges, security, disaster planning, and archivingDiscuss the DBA’s administrative responsibilities for DBMS evaluation and selection, DBMS maintenance, data dictionary management, and trainingDiscuss the DBA’s technical responsibilities for database design, testing, and performance tuning * * Introduction FIGURE 8-1: DBA responsibilities * * Database Policy Formulation and EnforcementDBAFormulates database policiesCommunicates policies to usersEnforces policiesPoliciesAccess privilegesSecurityDisaster planningArchiving * * Access PrivilegesDBADetermines access privileges for all usersEnters appropriate authorization rules in DBMSSQL GRANT statementAccess privilege policyDocumented by DBAApproved by top-level managementCommunicated by DBA to all users * * Access Privileges (continued) FIGURE 8-2: Permitted and denied access privileges for Sam * * Access Privileges (continued) FIGURE 8-4: Permitted and denied access privileges for Valerie * * SecurityPrevention of unauthorized access, intentional or accidental, to databaseDBACreates security policies and proceduresObtains management approval of policies and proceduresDistributes policies and procedures to authorized users * * Security (continued)DBMS’s security featuresEncryptionAuthenticationAuthorizationsViewsAdditional security programs may be created or purchasedMonitoring of database usage to detect security violations * * Security (continued) FIGURE 8-5: Attempted security violation by Brady, who’s not an authorized user * * Security (continued) FIGURE 8-6: Attempted security violation by Paige, who’s authorized to access some customer data but is not authorized to access customer balances * * Disaster PlanningDamage from physical incidentsSoftware/hardware/electricalNatural disastersDisaster recovery plan: ongoing and emergency actions and procedures to ensure data availability if a disaster occursHard drive failuresRedundant array of inexpensive/independent drives (RAID): database updates replicated to multiple hard drives * * Disaster Planning (continued)Electrical power lossUninterruptible power supply (UPS): power source and power generatorDuplicate backup systemsHot site: completely equipped with duplicate hardware, software, and dataCan switch to hot site in minutes or hoursWarm site: duplicate hardware and software but not dataTakes longer to start processing * * ArchivingGovernmental laws and regulations, for example:Sarbannes-Oxley ActPatriot ActHIPAAAuditing and financial requirementsData archive or archive: place where record of certain corporate data is keptStored on mass storage devicesCopies of archives and database backups must be stored off-site * * Archiving (continued) FIGURE 8-7: Movement of order 21617 from the.

Database AdministrationObjectivesDiscus.docx

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data/actor.csv id,firstName,lastName,gender 0,Mr,Ed,M 933,Lewis,Abernathy,M 2547,Andrew,Adamson,M 2700,William,Addy,M 2898,"Seth (I)",Adkins,M 2925,"Charles (I)",Adler,M 3226,Casey,Affleck,M 4306,Shigekazu,Aida,M 4856,Julliet,Akinyi,M 6005,Henri,Alciatore,M 6990,Dean,Alexandrou,M 7124,Jim,Alfonso,M 7817,"Carl (I)",Allen,M 7979,"Ivan (I)",Allen,M 8161,"Richard (XV)",Allen,M 8409,Anthony,Allison,M 8412,"Bill (I)",Allison,M 8426,"Frankie J.",Allison,M 9184,Steve,Altes,M 9275,Walter,Altman,M 11489,Dion,Anderson,M 11547,"George (IV)",Anderson,M 11590,"J. Todd",Anderson,M 11865,"Scott G.",Anderson,M 12043,Kris,Andersson,M 12508,"David (I)",Andrews,M 12987,"Jack (I)",Angel,M 13553,Joey,Ansah,M 14741,"Royce D.",Applegate,M 14973,Julian,Arahanga,M 15068,Raul,Aranas,M 15854,Geoffrey,Arend,M 15921,"Guillaume (II)",Aretos,M 16669,Alun,Armstrong,M 16791,"Neil (I)",Armstrong,M 16844,"William (I)",Armstrong,M 17326,Abraham,Aronofsky,M 17433,Alexis,Arquette,M 17438,Richmond,Arquette,M 17946,Michael,Arturo,M 18534,Graham,Ashley,M 18638,"Richard (II)",Ashton,M 18826,Edward,Asner,M 19123,"David (I)",Aston,M 19873,Rene,Auberjonois,M 20565,"Mark (III)",Austin,M 21959,Ryuichiro,Baba,M 22188,James,Babson,M 22262,Mike,Bacarella,M 22489,Joe,Bacino,M 22591,Kevin,Bacon,M 22669,Michael,Badalucco,M 22723,Diedrich,Bader,M 23488,Eion,Bailey,M 24164,"Dylan (I)",Baker,M 24298,"Kenny (I)",Baker,M 24389,"Rick (I)",Baker,M 24660,Matthew,Balaban,M 25103,Christian,Bale,M 25293,Jeremy,Ball,M 25743,Kirk,Baltz,M 26018,John,Bandemer,M 26409,Ian,Bannen,M 28218,"Christopher Daniel",Barnes,M 28510,Roy,Barnitt,M 29603,Jason,Barry,M 29686,Thom,Barry,M 30298,Billy,Barty,M 31092,Dean,Batchelor,M 32474,Joe,Bays,M 32648,Scott,Beach,M 32842,Lightning,Bear,M 32884,"Kevin (I)",Beard,M 33024,Lou,"Beatty Jr.",M 33582,"William (II)",Beck,M 33865,Andy,Beckwith,M 35463,Ned,Bellamy,M 35741,Gil,Bellows,M 36005,John,Belushi,M 36390,Nat,Benchley,M 36472,Lawrence,Bender,M 36641,"Jay (I)",Benedict,M 37040,"David (I)",Benn,M 38306,"Jon (I)",Berg,M 38626,"Loys T.",Bergeron,M 38779,Jules,Bergman,M 38973,"Scott Clark",Beringer,M 39044,Xander,Berkeley,M 39553,Jay,Bernard,M 39860,Steve,Bernie,M 41012,Doug,Beswick,M 41156,Val,Bettin,M 41200,Jack,Betts,M 42278,Michael,Biehn,M 42960,Stephen,Billington,M 43791,"John (I)",Bishop,M 43802,Larry,Bishop,M 43842,"Stephen (I)",Bishop,M 43899,John,Bisom,M 43926,"Richard (II)",Bissell,M 43967,Joel,Bissonnette,M 44737,Abdul,Blackmanwest,M 45134,Geoffrey,Blake,M 45176,Matty,Blake,M 45193,"Paul (II)",Blake,M 45243,Don,Blakely,M 46035,Andrew,Blesser,M 46276,Bobby,Block,M 46793,Stuart,Blumberg,M 47366,Ben,Bode,M 47448,Wolfgang,Bodison,M 47548,Bain,Boehlke,M 47858,Hale,Boggs,M 48064,Bruce,Bohne,M 48468,Bill,Bolender,M 48630,Diedrich,Bollman,M 49086,Josh,Bond,M 49108,Rudy,Bond,M 49661,Bruce,Bonnheim,M 49922,Mark,"Boone Junior",M 50085,"Tim (I)",Booth,M 50561,"Eric Bruno",Borgman,M 51588,Morne,Botes,M 52396,Anderson,Bourell,M 52913,David,Bowe,M 52927,Douglass,"Bowen Flynn",M 52941,C.

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Data1. From the Table below prepare the following Financial Statements:and provide a descripition of the uses of each.A. Income StatementB. Balance Sheet2Explain the purpose of the Statement of Cash Flowand explain the three sections, give 2 examples of data whichappears in each section.FY 2017FY 2016Cash$4,000,000$3,700,000Short Term Investments$2,500,000$2,500,000Accounts Receivable$18,500,000$17,000,000Long Term Investments$12,500,000$10,000,000Property, Plant & Equipment (Net)$25,000,000$23,000,000Other Assets$1,500,000$1,250,000$57,450,000Current Portion of Long Term Debt$2,500,000$2,000,000Accounts Payable$4,500,000$4,000,000Long Term Debt$12,500,000$11,500,000Other Liabilities$2,000,000$1,500,000Unrestricted Net Asdets$30,000,000$28,000,000Temporily Restricted Assets$5,000,000$3,000,000Premenently Restricted Assets$7,500,000$7,500,000$57,500,000$64,000,000Net Patient Revenue (Before Bad Debt)$90,000,000$86,000,000Other Operating Revenue$2,000,000$2,000,000Salaries and Wages$45,000,000$44,000,000Benefits$9,000,000$8,500,000Supply Expenses12,500,00012,000,000Depreciation Expense$6,500,000$6,000,000Interest Expense$2,000,000$1,800,000Bad Debt$6,000,000$5,300,000General Expenses$5,000,000$4,500,000Insurance Expenses$1,500,000$1,250,000$371,500,000$286,300,000 Sheet21. From the Table below prepare the following Financial Statements:and provide a descripition of the uses of each.A. Income StatementB. Balance Sheet2Explain the purpose of the Statement of Cash Flowand explain the three sections, give 2 examples of data whichappears in each section.FY 2017FY 2016Cash$4,000,000$3,700,000Short Term Investments$2,500,000$2,500,000Accounts Receivable$18,500,000$17,000,000Long Term Investments$12,500,000$10,000,000Property, Plant & Equipment (Net)$25,000,000$23,000,000Other Assets$1,500,000$1,300,000Current Portion of Long Term Debt$2,500,000$2,000,000Accounts Payable$4,500,000$4,000,000Long Term Debt$12,500,000$11,500,000Other Liabilities$2,000,000$1,500,000Unrestricted Net Assets$30,000,000$28,000,000Temporily Restricted Assets$5,000,000$3,000,000Premenently Restricted Assets$7,500,000$7,500,000Net Patient Revenue (Before Bad Debt)$90,000,000$86,000,000Other Operating Revenue$2,000,000$2,000,000Salaries and Wages$45,000,000$44,000,000Benefits$9,000,000$8,500,000Supply Expenses12,500,00012,000,000Depreciation Expense$6,500,000$6,000,000Interest Expense$2,000,000$1,800,000Bad Debt$6,000,000$5,300,000General Expenses$5,000,000$4,500,000Insurance Expenses$1,500,000$1,250,000$307,500,000$286,350,000 Income StatementIncome StatementOperating Revenue and other supportsFY 2017FY 2016 Balance SheetBalance SheetFY 2017FY 2016 Cash Flow Statement 1 Running Head: OPTIMIZING EMPLOYEE PERFORMANCE Olena Spears HRMT300-1803B Professor Washington 6 Sept 2018 Introduction · One of the key aspects of business success is the employees’ performance. This means that when a business aims at optimizing the performance of the employees most probably the b.

Data1. From the Table below prepare the following Financial Statem.docx

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Data Wrangling for Big Data: Challenges and Opportunities Tim Furche Dept. of Computer Science Oxford University Oxford OX1 3QD, UK [email protected] Georg Gottlob Dept. of Computer Science Oxford University Oxford OX1 3QD, UK [email protected] Leonid Libkin School of Informatics University of Edinburgh Edinburgh EH8 9AB, UK [email protected] Giorgio Orsi School. of Computer Science University of Birmingham Birmingham, B15 2TT, UK [email protected] Norman W. Paton School of Computer Science University of Manchester Manchester M13 9PL, UK [email protected] ABSTRACT Data wrangling is the process by which the data required by an application is identified, extracted, cleaned and integrated, to yield a data set that is suitable for exploration and analysis. Although there are widely used Extract, Transform and Load (ETL) techniques and platforms, they often require manual work from technical and do- main experts at different stages of the process. When confronted with the 4 V’s of big data (volume, velocity, variety and veracity), manual intervention may make ETL prohibitively expensive. This paper argues that providing cost-effective, highly-automated approaches to data wrangling involves significant research challenges, requiring fundamental changes to established areas such as data ex- traction, integration and cleaning, and to the ways in which these areas are brought together. Specifically, the paper discusses the importance of comprehensive support for context awareness within data wrangling, and the need for adaptive, pay-as-you-go solutions that automatically tune the wrangling process to the requirements and resources of the specific application. 1. INTRODUCTION Data wrangling has been recognised as a recurring feature of big data life cycles. Data wrangling has been defined as: a process of iterative data exploration and transformation that enables analysis. ([21]) In some cases, definitions capture the assumption that there is significant manual effort in the process: the process of manually converting or mapping data from one “raw” form into another format that allows for more convenient consumption of the data with the help of semi-automated tools. ([35]) c©2016, Copyright is with the authors. Published in Proc. 19th Inter- national Conference on Extending Database Technology (EDBT), March 15-18, 2016 - Bordeaux, France: ISBN 978-3-89318-070-7, on OpenPro- ceedings.org. Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0 The general requirement to reorganise data for analysis is noth- ing new, with both database vendors and data integration compa- nies providing Extract, Transform and Load (ETL) products [34]. ETL platforms typically provide components for wrapping data sources, transforming and combing data from different sources, and for loading the resulting data into data warehouses, along with some means of orchestrating the components, such as a work.

Data Wrangling for Big Data Challenges andOpportunities.docx

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Data warehouse design from XML sources Matte0 Golfarelli Stefano Rizzi DEIS - University of Bologna DEIS - University of Bologna Viale Risorgimento, 2 Viale Risorgimento, 2 40136 Bologna - Italy 40136 Bologna - Italy +39-051-642862 +39-051-2093542 [email protected][email protected] Boris Vrdoljak FER - University of Zagreb Unska 3 10000 Zagreb - Croatia +385-(O)l -6129756 [email protected] ABSTRACT A large amount of data needed in decision-making processes is stored in the XML data format, which is widely used for e- commerce and Internet-based information exchange. Thus, as more organizations view the web as an integral part of their communication and business, the importance of integrating XML data in data warehousing environments is becoming increasingly high. In this paper we show how the design of a data mart can be carried out starting directly from an XML source. Two main issues arise: on the one hand, since XML models semi-structured data, not all the information needed for design can be safely derived; on the other, different approaches for representing relationships in XML DTDs and Schemas are possible, each with different expressive power. After discussing these issues, we propose a semi-automatic approach for building the conceptual schema for a data mart starting from the XML sources. Keywords Data warehouse design, Data warehousing and the web, XML 1. INTRODUCTION A large amount of data needed in decision-making processes is stored in the XML (Extensible Markup Language) data format. The structure of XML, composed of nested custom-defined tags that can describe the meaning of the content itself, makes it usable as a semantic-preserving data exchange format on the web. As the Internet has evolved into a global platform for e-commerce and information exchange, the interest in XML has been growing and large volumes of XML data already exist. XML can be considered as a particular standard syntax for the exchange of semi-structured data [l]. One common feature of semi-structured data models is the lack of schema, so that the data is self-describing. However, XML documents can be associated with and validated against either a Document Type Definition (DTD) or an XML Schema, both of which allow the structure of XML documents to be described and their contents to be constrained. DTDs are defined as a part of the XML 1.0 Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists. requires prior specific permission and/or a fee. DOLAP ‘01, November 9,2001, Atlanta, Georgia, USA. Copyright 2001 ACM l-581 l3-437-l/Ol/OOl I . ..$5.00. Specification [15], while XML Schemas have recently become a W3C Recommendation [16]. XML S.

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Data visualization has been around for some time. We remember in the late 90's being struck by the pure awesomeness of “ XPLANATiONS ” infographics published in Business 2.0 magazine. Not long after, we discovered from the great Edward Tufte, the rich history of data visualizations going back perhaps to the earliest of times. What are effective ways to leverage interactivity in data visualizations? Provide 3 examples of how you would effectively use interactivity in data visualization. .

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In BC’s nearly-decade-old “new” curriculum, the curricular competencies describe the processes that students are expected to develop in areas of learning such as mathematics. They reflect the “Do” in the “Know-Do-Understand” model. Under the “Communicating” header falls the curricular competency “Explain and justify mathematical ideas and decisions.” Note that it contains two processes: “Explain mathematical ideas” and “Justify mathematical decisions.” I have broken it down into its separate parts in order to understand--or reveal--its meaning. The first part is commonplace in classrooms. By now, BC math teachers—and students—understand that “Explain mathematical ideas” means more than “Show your work.” Teachers consistently ask “What did you do?” and “How do you know?” This process is about retelling, not just of steps but of thinking. The second part happens less frequently. Think back to the last time that you observed a student make—a necessary precursor to justify—a mathematical decision. “Justify” is about defending. Like “explain,” it involves reasoning; unlike “explain,” it also involves opinion and debate. In order to reinterpret the curricular competency “Explain and justify mathematical ideas and decisions,” I will continue to take apart its constituent part “Justify mathematical decisions” and carefully examine the term “mathematical decisions.” What, exactly, is a “mathematical decision”? Below, I will categorize answers to this question. These categories, and the provided examples, may help to suggest new opportunities for students to justify.

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