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Questions and Answers
What is one advantage of using OLAP in a business intelligence system?
What is one advantage of using OLAP in a business intelligence system?
Which statement best reflects a risk associated with mobile BI applications?
Which statement best reflects a risk associated with mobile BI applications?
What is a potential disadvantage when implementing business intelligence solutions?
What is a potential disadvantage when implementing business intelligence solutions?
How does business intelligence impact the tracking of Key Performance Indicators (KPIs)?
How does business intelligence impact the tracking of Key Performance Indicators (KPIs)?
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What can be a consequence of data management issues in business intelligence?
What can be a consequence of data management issues in business intelligence?
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What does lock granularity refer to?
What does lock granularity refer to?
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Which of the following is a component of developing database security?
Which of the following is a component of developing database security?
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What is a characteristic shared by most DBMS products regarding security?
What is a characteristic shared by most DBMS products regarding security?
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Big Data primarily refers to:
Big Data primarily refers to:
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Which of the following best describes the purpose of Business Intelligence (BI) systems?
Which of the following best describes the purpose of Business Intelligence (BI) systems?
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What does an OLAP cube represent?
What does an OLAP cube represent?
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What are the two broad categories of Business Intelligence (BI) systems?
What are the two broad categories of Business Intelligence (BI) systems?
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In the context of DBMS, what does page-level locking mean?
In the context of DBMS, what does page-level locking mean?
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What does the atomicity property ensure in a database transaction?
What does the atomicity property ensure in a database transaction?
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Which ACID property maintains that data must remain in a consistent state before and after a transaction?
Which ACID property maintains that data must remain in a consistent state before and after a transaction?
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How does the isolation property of a transaction affect concurrent transactions?
How does the isolation property of a transaction affect concurrent transactions?
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What does durability ensure after a transaction is completed?
What does durability ensure after a transaction is completed?
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What are concurrency problems typically associated with database operations?
What are concurrency problems typically associated with database operations?
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What is a defining feature of transactions in a database management system?
What is a defining feature of transactions in a database management system?
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What mechanism is commonly implemented in a DBMS to manage concurrency?
What mechanism is commonly implemented in a DBMS to manage concurrency?
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What type of transactions involves a single Data Manipulation Language (DML) statement?
What type of transactions involves a single Data Manipulation Language (DML) statement?
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What is the purpose of the COMMIT statement in a transaction?
What is the purpose of the COMMIT statement in a transaction?
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What happens when a ROLLBACK statement is executed?
What happens when a ROLLBACK statement is executed?
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What is an after-image in the context of database recovery?
What is an after-image in the context of database recovery?
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What is the function of a checkpoint in a database system?
What is the function of a checkpoint in a database system?
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How does rollback recovery typically work?
How does rollback recovery typically work?
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When the AUTOCOMMIT setting is OFF, what does this imply?
When the AUTOCOMMIT setting is OFF, what does this imply?
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What is the primary characteristic of explicit transactions in MySQL?
What is the primary characteristic of explicit transactions in MySQL?
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What occurs during a rollforward recovery process?
What occurs during a rollforward recovery process?
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Study Notes
BSc (Hons) Computer Science - 5502CSQR
- Course title: Database Systems
- Lecturer: Dr. Ali Baydoun
Lecture 11 Revision Part 1 - December 2024 Exam
- Topic: ACID Compliance
- RDBMS products are compliant with ACID properties
- Atomicity: All changes are treated as a single operation (either all succeed or none).
- Example: Funds transfer, either both accounts update or neither do.
- Consistency: Data maintains consistency from start to end of a transaction.
- Example: Funds transfer, the total sum of both accounts remains the same before and after transfer.
- Isolation: Intermediate states of a transaction are hidden from other concurrent transactions.
- Example: Transaction A sees the updated accounts (either account 1 or 2), but not both at the same time.
- Durability: Changes persist after a transaction completes, even in system failure.
- Example: Funds transferred will still be reflected in the accounts even after a system failure.
Concurrent Transactions (refer to Lecture 12)
- Concurrency refers to multiple transactions operating simultaneously.
- Every DBMS needs to ensure only one user can modify data at a time (to avoid concurrency problems).
- Concurrency problems include lost updates and inconsistent reads.
- Locking mechanisms are crucial to avoid these problems.
Transactions (refer to Lecture 12)
- Transactions group operations into a logical unit of work.
- Implicit Transactions: Single DML statements (INSERT, UPDATE, DELETE).
- Explicit Transactions: Multiple DML statements, demarcated with START TRANSACTION, COMMIT (or ROLLBACK).
Transactions (refer to Lecture 12) - MySQL
- When using explicit transactions, AUTOCOMMIT is off until COMMIT (or ROLLBACK).
- COMMIT [WORK]: Saves transaction changes.
- ROLLBACK [WORK]: Reverts changes made in a transaction.
- Note: COMMIT and ROLLBACK are logical units of work, not decision-making statements themselves. Conditional statements are needed for decisions (e.g., IF/THEN).
Database Recovery
- In the event of a system failure, the database must be restored as soon as possible.
- Typical recovery methods include rollback/rollforward.
Rollback/Rollforward
- Rollback: Reverses changes made by a transaction to retrieve the original state. It uses "before-images."
- Rollforward: Restores the database to a modified state using saved data and valid transactions since the last save. Uses "after-images".
Checkpoint
- Checkpoint is a synchronization point between database and the transaction log.
- DBMS halts new requests, processes existing requests, and saves to disk. Waits for the entire process to complete before accepting new requests.
- Checkpoints speed up database recovery.
- Databases can be recovered from the last checkpoint onward.
- Most DBMSs automatically perform checkpoints periodically.
Object Locking
- Lock granularity refers to the size of the database object that a single lock affects.
- Types: Database-level, Table-level, Page-level, Row-level, Field-level
Database Security
- Database security ensures that only authorized users perform authorized actions at authorized times.
- Implementing database security involves determining user processing rights and enforcing security features in both the DBMS and application programs.
DBMS Security
- DBMS products provide security facilities.
- They limit actions on objects for specific users or groups (called roles).
- Usernames and passwords are nearly universal security methods in DBMS.
DBMS Security Model
- A diagram showcasing users, roles, permissions, and objects with relationships.
- Specific examples of user permissions are provided (e.g., "Eleanore Wu can execute Monthly End Stored Procedure").
Data Warehousing & Big Data/Data Analytics
- Big Data refers to voluminous data generated by web applications (eg. Search engines, social media platforms, etc).
- Big data problems are increasingly prevalent even outside of web-related applications, such as scientific research and business operations.
Business Intelligence (BI) Systems
- BI systems aid managers/professionals in analysing current/past activities & predicting future events.
- Reporting and Data Mining are the two main categories.
The Relationship of Operational and BI Systems
- Diagram showing the flow of data from Operational Databases to BI Systems.
- Operational applications funnel transaction data into Operational DBMS.
- Data is extracted and used for BI Applications.
Components of a Data Warehouse
- Diagram illustrating the components of a data warehouse (e.g., Operational Databases, Data Warehouse, Metadata, ETL system, Data Warehouse DBMS, BI Tools, and Business Intelligence Users.)
Characteristics of Operational and Dimensional Databases
- Summarizing the differences between operational and dimensional databases pertaining to data type, use, and update methods.
Reporting Systems (OLAP)
- OLAP reports use measures and dimensions like a data item of interest and characterisitc of that measure.
- OLAP cubes represent measures with associated dimensions.
- OLAP reports are synonymous with OLAP cubes.
Data Analytics
- Different types of data analytics:
- Descriptive: Learn about past and current data, like who are the best customers?
- Predictive: Forecasting future behavior of customers based on past data, like how will the customers behave in the future?
Pros and Cons of BI
- Pros: Big data management in real-time for quick decisions; Tracking KPIs; Helpful metric development.
- Cons: Cost is a potential issue, even in Cloud systems; Data security is a concern, especially with mobile and cloud-based data management.
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Description
Test your knowledge on the advantages, risks, and impacts of business intelligence systems. This quiz covers key concepts like OLAP, mobile BI applications, and data management issues. It's a great way to assess your understanding of how business intelligence affects organizations.