Database Design Assignment Help
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 firstname.lastname@example.org. We will revert to your email address with the assignment solution by the agreed deadline.
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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
- Find out the purpose of Database - It would help you for all the leftover steps.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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:
- Databases and Information Systems
- Database system concepts and architecture
- Semantic Database Design Homework Help
- High-level conceptual modeling
- ER Modeling concepts
- ER Diagrams
- Cardinality constraints
- Higher-order relationships
- Enhanced ER Model (EER)
- Weak-entity types
- Subclasses and inheritance
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- Modeling of UNION types using categories
- Relational Model
- Languages and Systems
- Relational algebra Homework help
- Relational model concepts
- Relational integrity constraints
- Update operations on relations
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- ER to relational mapping
- SQL Homework Help
- Data definition in SQL
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- Specifying indexes
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- IBM DB2 case study Homework Help
- Architecture of DB2
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- EER to Relational mapping
- Database design using the relational model
- Functional dependencies Homework Help
- Keys in a relational model
- Concept of functional dependencies
- Normal forms based on primary keys
- Boyce-Codd Normal Forms
- Further Dependencies Homework Help
- Multi-values dependencies and fourth normal form
- Join dependencies and fifth normal form
- Inclusion dependencies
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- Storage and Indexing Structures
- Storage structures Homework Help
- Secondary storage devices
- Buffering of blocks
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- Hashing and overflow handling techniques
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- Indexing methods Homework Help
- Basic terminology
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- Transaction Processing and Concurrency Control
- Transaction Fundamentals Homework Help
- ACID properties
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- View serializability
- Recoverable and non-recoverable schedules
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- Concurrency control Homework Help
- Serialized and non-serialized schedules
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- Lock compatibility matrix
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- Deadlocks and starvation
- Two-phase locking (2PL) protocol
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- Multi-versioning protocol
- Multi-granularity locking
- Deadlock prevention protocols
- Wait-die and wound-wait schemes
- Time-out based schemes
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- Database recovery techniques
- Recovery concepts
- Deferred updates technique
- Immediate update technique
- Shadow paging
- ARIES recovery algorithm
- Query Processing and Optimization
- Translating SQL into relational algebra
- Basic query operations
- Heuristics in query optimization
- Selectivity and cost estimates in query optimization
- Semantic query optimization
- Database Security and Authorization
- Discretionary access control
- Mandatory access control and multi-level security
- Statistical database security
- Enhanced Data Models for specific applications
- Active database concepts
- Temporal databases
- Spatial databases
- Multi-media databases
- Distributed databases and issues
- Data fragmentation
- Replication and allocation in distributed databases
- Types of distributed database systems
- Query processing in distributed databases
- Concurrency control and recovery in distributed databases
- Advanced topics Object-oriented and object-relational databases, logical databases, web databases, distributed databases, data warehousing and data mining.
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