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Help with Database Design Assignment

First we need to understand the meaning of database design. The process of creating the detailed data model of a database is known as Database Design. The data model for creating database design has two type of model namely logical and physical model. Therefore, DDL - Data Definition Language is generated by using all the logical, physical design choices and storage parameters from the logical data model. This DDL - Data Definition Language is used to produce a database. In Database Design, each entity is allocated with the set of attributes.

The term Database design is a broad term which can be used to explain various parts of the database management assignments. The easiest definition of database design is - "to create the logical design of the data structures for storing data". In the relational database model, table and view are present. In an object database model, entities and relationships are mapped directly. Therefore, database design can be used to for each and every process of designing database.

The process of taking assistance with database design homework is simple. You are just supposed to send your DBMS design problems to us filling up the order form on our website or send all homework via e-mail at enquiry@allassignmenthelp.com. We will revert to your email address with the assignment solution by the agreed deadline.

Importance of Database design in real world applications

As we have seen the proliferation of data over the years it has become very important to have a robust database that can hold millions of entries. Most the business are data driven. If we talk about Facebook, it is all about data. Same goes for Google and Other marketing companies. Apart from holding the information data retrieval is one of the most important parts of databases. If we are not able to fetch data at an efficient rate, then the concept of databases is rendered useless. Hence, database design in one of the most important aspect of databases.

Steps in solving a database design homework

  1. Find out the purpose of Database - It would help you for all the leftover steps.
  2. Identify the Information Required to Store - Identify the information required to store in the database such as username, password, email, name, date of birth in case of registering user.
  3. Design Tables required for storing data - Identify the information which is related to an entity and make it a table such as User_account, user_profile.
  4. Design Columns in the table - Identify which set of data is to be stored in which table. Each item becomes a field and is displayed as a column in the table. For example, username, email, and password become columns of user_account, name and date_of_birth become columns of user_profile.
  5. Identify primary keys - Each row has to identified uniquely so assign a primary key to a field which would be unique. For example, userid is primary key for user_account table.
  6. Desing Relationship between Tables - Identify the columns which can be related to another column of the different table to maintain consistency. For example, user_account and user_profile table would be related with column user_id in both the tables.
  7. Review and Refine your design - After reviewing your database design, create the actual database and tables. Insert some data into the tables and check the correctness of the result fetched. If the result is not correct, redesign your database and recheck for the result.
  8. Apply the normalization rules - Apply Normalization in the database to make the database design robust.

Learn the subject and hire tutors for assignment writing

To understand a subject, it's important and necessary to study subject with the intent of learning and interest. It is difficult to develop an understanding of the subject without the interest. The database is one such subject that requires a great deal of perseverance to master. It is the subject that can be demanding at times, and one has to spend hours understanding various diagrams and database structures for the practical implementations. Moreover, professors might ask to implement any programming assignment that require intensive use of database concepts. If you are in a panic mode, just relax and let our experts help you sail through.

Many universities and schools in US and UK follows the same grading criteria, and they believe in more and more assignment writing so that students get to learn the subject on their own. However, time limitations and other priorities supersede to make student miss their deadlines. It is recommended to take assistance from the experts in such cases.

AllAssignmentHelp writing Service is distinctive, unmatchable and of high-quality that will you to excel in their database classes. Our emphasis is to prepare you well for the final papers and other quizzes. Hence, we try to make our assignment solutions self-explanatory. Apart from the premium solution, you get free bibliography with every assignment solution to enhance your knowledge about the subject. All the solutions are perfect for students to follow. Allassignmenthelp experts are highly qualified and well versed in the Database management and general database concepts, and we always look forward to helping you in difficult topics given below:

  1. Databases and Information Systems
  2. Database system concepts and architecture
  3. Semantic Database Design Homework Help
  4. High-level conceptual modeling
  5. ER Modeling concepts
  6. ER Diagrams
  7. Cardinality constraints
  8. Higher-order relationships
  9. Enhanced ER Model (EER)
  10. Weak-entity types
  11. Subclasses and inheritance
  12. Specialization and Generalization
  13. Modeling of UNION types using categories
  14. Relational Model
  15. Languages and Systems
  16. Relational algebra Homework help
  17. Relational model concepts
  18. Relational integrity constraints
  19. Update operations on relations
  20. Relational algebra model
  21. ER to relational mapping
  22. SQL Homework Help
  23. Data definition in SQL
  24. Queries and update statements
  26. Integrity constraints
  27. Specifying indexes
  28. Embedded SQL
  29. IBM DB2 case study Homework Help
  30. Architecture of DB2
  31. Data definition and manipulation in DB2
  32. EER to Relational mapping
  33. Database design using the relational model
  34. Functional dependencies Homework Help
  35. Keys in a relational model
  36. Concept of functional dependencies
  37. Normal forms based on primary keys
  38. Boyce-Codd Normal Forms
  39. Further Dependencies Homework Help
  40. Multi-values dependencies and fourth normal form
  41. Join dependencies and fifth normal form
  42. Inclusion dependencies
  43. Other dependencies and normal forms
  44. Storage and Indexing Structures
  45. Storage structures Homework Help
  46. Secondary storage devices
  47. Buffering of blocks
  48. File Organization
  49. Heaps
  50. Sorted Files
  51. Hashing and overflow handling techniques
  52. Dynamic hashing
  53. Extensible hashing
  54. Other file organizations
  55. Indexing methods Homework Help
  56. Basic terminology
  57. Primary indexes
  58. Inserting and searching algorithms for B+ trees
  59. Other indexing methods
  60. Transaction Processing and Concurrency Control
  61. Transaction Fundamentals Homework Help
  62. ACID properties
  63. Transaction states
  64. Serializability
  65. Serial schedules
  66. Conflict serializability
  67. View serializability
  68. Recoverable and non-recoverable schedules
  69. Cascading rollbacks
  70. Cascadeless schedules
  71. Concurrency control Homework Help
  72. Serialized and non-serialized schedules
  73. Testing for serializability
  74. Locking
  75. Lock compatibility matrix
  76. Locking and serializability
  77. Deadlocks and starvation
  78. Two-phase locking (2PL) protocol
  79. Conservative, strict and rigorous 2PL
  80. 2PL with lock conversions
  81. Timestamp-ordering based protocol
  82. Multi-versioning protocol
  83. Multi-granularity locking
  84. Deadlock prevention protocols
  85. Wait-die and wound-wait schemes
  86. Time-out based schemes
  87. Deadlock recovery
  88. Nested transactions
  89. Database recovery techniques
  90. Recovery concepts
  91. Deferred updates technique
  92. Immediate update technique
  93. Shadow paging
  94. ARIES recovery algorithm
  95. Query Processing and Optimization
  96. Translating SQL into relational algebra
  97. Basic query operations
  98. Heuristics in query optimization
  99. Selectivity and cost estimates in query optimization
  100. Semantic query optimization
  101. Database Security and Authorization
  102. Discretionary access control
  103. Mandatory access control and multi-level security
  104. Statistical database security
  105. Enhanced Data Models for specific applications
  106. Active database concepts
  107. Temporal databases
  108. Spatial databases
  109. Multi-media databases
  110. Distributed databases and issues
  111. Data fragmentation
  112. Replication and allocation in distributed databases
  113. Types of distributed database systems
  114. Query processing in distributed databases
  115. Concurrency control and recovery in distributed databases
  116. Advanced topics Object-oriented and object-relational databases, logical databases, web databases, distributed databases, data warehousing and data mining.

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