Podcast
Questions and Answers
What makes data the 'lifeblood' of computerized applications?
What makes data the 'lifeblood' of computerized applications?
- Application programs are developed to read, write, analyze, move, calculate, modify, and use data. (correct)
- Data provides a means to store and retrieve information, maintaining records of past events or transactions.
- Data allows programs to interact with users, receive input, and display output, creating an interactive experience.
- Data acts as the foundation for decision making, providing the raw material used by analysts to identify trends and behaviors.
A database in the IT world is solely associated with hardware.
A database in the IT world is solely associated with hardware.
False (B)
What is the role of DBMS products in maintaining data?
What is the role of DBMS products in maintaining data?
Data integrity, data access control, automated rollback, restart, and recovery.
A DBMS is a ______ package used to create, store, and manage databases.
A DBMS is a ______ package used to create, store, and manage databases.
Match the following terms with their descriptions:
Match the following terms with their descriptions:
What does the information technician ensure for an organization's databases?
What does the information technician ensure for an organization's databases?
Understanding many facts of business and how business uses data is something not beneficial for a DBA.
Understanding many facts of business and how business uses data is something not beneficial for a DBA.
Besides vast technical knowledge and good communication skills, describe one attribute of a good DBA.
Besides vast technical knowledge and good communication skills, describe one attribute of a good DBA.
The database administrator is responsible for the ______ aspects of data, while the data administrator handles the business aspects.
The database administrator is responsible for the ______ aspects of data, while the data administrator handles the business aspects.
Match each role to their area of focus within data and system administration:
Match each role to their area of focus within data and system administration:
What responsibility aligns with a Data Administrator (DA)?
What responsibility aligns with a Data Administrator (DA)?
Metadata is data about programs.
Metadata is data about programs.
List three responsibilities of the DBA.
List three responsibilities of the DBA.
The System Administrator (SA) is a pure ______, with no responsibility for database design.
The System Administrator (SA) is a pure ______, with no responsibility for database design.
Match each role to their primary responsibilities.
Match each role to their primary responsibilities.
Which action does NOT align to DBA tasks?
Which action does NOT align to DBA tasks?
Database design isn't one of the key areas included in DBA tasks.
Database design isn't one of the key areas included in DBA tasks.
List three DBA tasks listed in the content provided.
List three DBA tasks listed in the content provided.
DBA tasks include performance ______ and tuning.
DBA tasks include performance ______ and tuning.
Match the terms related to DBA tasks with their descriptions:
Match the terms related to DBA tasks with their descriptions:
What best characterizes how a DBA addresses workload factors?
What best characterizes how a DBA addresses workload factors?
High contention helps throughput increases.
High contention helps throughput increases.
What is the goal of database performance?
What is the goal of database performance?
The three types of database recovery are recover to current, point-in-time recovery, and ______ recovery.
The three types of database recovery are recover to current, point-in-time recovery, and ______ recovery.
Match each recovery type with its description:
Match each recovery type with its description:
Which does NOT describe a component of data integrity?
Which does NOT describe a component of data integrity?
External Integrity is one of the Key aspects on Integrity.
External Integrity is one of the Key aspects on Integrity.
What are referential constraints used for?
What are referential constraints used for?
[Blank] constraints are used to place more complex integrity rules on a column or set of columns in a table.
[Blank] constraints are used to place more complex integrity rules on a column or set of columns in a table.
Match the type of constraints with their functions:
Match the type of constraints with their functions:
Which task does data migration typically involve?
Which task does data migration typically involve?
Data migration is a one-time task and does not need to be performed frequently.
Data migration is a one-time task and does not need to be performed frequently.
Describe five of the most common types of DBA.
Describe five of the most common types of DBA.
A ______ focuses on technical rather than business issues and can be more common in the system administration area.
A ______ focuses on technical rather than business issues and can be more common in the system administration area.
Match the DBA type with their main area of focus:
Match the DBA type with their main area of focus:
Within a tech team, which of the following roles would focus on the design and implementation of new databases?
Within a tech team, which of the following roles would focus on the design and implementation of new databases?
Database architect is usually involved in the maintenance or tuning of established databases.
Database architect is usually involved in the maintenance or tuning of established databases.
Describe the role of Task Oriented DBA with respect to other DBA roles.
Describe the role of Task Oriented DBA with respect to other DBA roles.
Performance Analysts must understand the details and nuances of SQL coding for performance. They must also be able to ______ databases for the performance.
Performance Analysts must understand the details and nuances of SQL coding for performance. They must also be able to ______ databases for the performance.
Match each role with their main focus and responsibilities.
Match each role with their main focus and responsibilities.
Flashcards
What is Data?
What is Data?
Data is the center of any application.
What is a Database?
What is a Database?
A structured set of persistent data, a collection of related data.
What is DBMS?
What is DBMS?
Software designed to create, store, and manage databases.
What is a database administrator (DBA)?
What is a database administrator (DBA)?
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What is metadata?
What is metadata?
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Data Administrator
Data Administrator
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Database Administrator
Database Administrator
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System Administrator
System Administrator
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DBA tasks
DBA tasks
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Database design
Database design
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Performance Monitoring and Tuning
Performance Monitoring and Tuning
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Workload
Workload
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Throughput
Throughput
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Resources
Resources
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Optimization
Optimization
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Contention
Contention
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Database Availability
Database Availability
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Database Security
Database Security
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Backup and Recovery
Backup and Recovery
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Recover to current
Recover to current
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Point-in time recovery
Point-in time recovery
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Integrity aspects
Integrity aspects
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DBMS Release Migration
DBMS Release Migration
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System DBA
System DBA
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Database Architect
Database Architect
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Data Modeler
Data Modeler
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Application DBA
Application DBA
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Task Oriented DBA
Task Oriented DBA
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Performance analyst
Performance analyst
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Data Warehousing
Data Warehousing
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Warehouse Administrator
Warehouse Administrator
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Multiplatform DBA Issues
Multiplatform DBA Issues
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Production server
Production server
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Impact of technology
Impact of technology
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Managing database
Managing database
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Store procedures
Store procedures
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Triggers
Triggers
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User-Defined Functions
User-Defined Functions
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The internet
The internet
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The DBA Cloud
The DBA Cloud
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DBA Certification
DBA Certification
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Study Notes
Key Concepts in Chapter 1: What is a DBA?
- Database Administration is important to learn
- DBA roles provide a unique vantage point
- The role has a management discipline component
- Focus on data, databases and all systems
- The role has specific tasks and responsibilities
- Various types of DBAs can specialize in different areas
- Multiplatform issues need to be addressed by DBAs
- Production environments differ from test environments
- Newer technologies impact the role of the DBA
- There is DBA certification on top of all of this
What is Data?
- Data is central for all modern applications
- Data powers computerized applications
- Application programs focus on reading, writing, analyzing, moving, calculating, and modifying data
- Without data, programs would be useless
What is a Database?
- Databases are structured and persistent sets of data
- Databases are collections of related data
- Phone books are an example of a database
- Databases are associated with software
- Databases can be files containing records and fields of fixed types and lengths
- Databases are organized stores of data accessible by name (fields, records, files)
- Databases are created to store and organize data
What is a DBMS?
- A Database Management System (DBMS) is a software package
- Designed to create, store, and manage databases
- DBMS software allows end users or application programmers to share data
- DBMS provides systematic methods for creating, updating, retrieving, and storing information
- They ensure data integrity, control access, and handle rollback, restart, and recovery
Database Administrator
- Database administrators are responsible for ensuring the ongoing operational functionality and efficiency of an organization's databases and applications
- Every organization using a DBMS needs a database administration group
- Group ensures the company's databases are used and deployed effectively
Why Learn Database Administration?
- Data is central to modern applications
- Organizations cannot function without data
- Today's businesses are primarily driven by data
- DBAs are responsible for the design and maintenance of databases
- The role places the DBA at the center of business operations
- DBAs learn about many facts of business
- The DBA can discover how business utilise their data
- DBAs learn new technologies as adopted by the organization
- Good database design/utility improves an organization's competitive position
What Makes a Good DBA?
- Vast technical knowledge
- On call
- Communication skills
- Be a problem solver
- Enjoys challenges
- Exposure to new technologies
- Can work alone or as part of a group
Splitting Business and Technical Aspects
- Data administrators focus on the business aspects
- Database administrators focus on the technical aspects
Data administrator (DA)
- Focuses on business and is responsible for:
- Identifying and cataloging data requested by business users
- Creating conceptual and logical data models
- Production of an enterprise model for all business processes
- Sets data policies for the organization
- Identifying data owners + stewards
- Sets standards for control and data usage
What is Metadata?
- Data about the data
- Example: The number 12 could mean (day of the month, age, IQ, etc)
Data Administrator vs Chief Data Officer
- Not about technology, more about the meaning of data in the organization
- Responsible for rallying the organization to use data as a corporate asset
- Handles metadata
- Concerned with data quality, integrity, and reuse
- Will invariably implement and staff the DA function
Database Administrator (DBA)
- Focuses on technologies used to manage the data
- Works with Data and System Administrators
- Accepts logical models from the DA to implement physical databases
- Works with SA (system admin) to schedule/implement system software (e.g., DBMS)
- Tunes the environment appropriately
- Communicates data models to developers and other technicians
- Maps data models to create physical databases
- Works with application programming staff
System Administrator (SA)
- Focuses on DBMS (database management systems)
- Concerned with the systems implementation/operations
- Responsible for:
- Installation/ setup of resources for computing
- Pure technologist
- No responsibility for database design and support
- Infrastructure support
- Setting up the DBMS
- IT infrastructure is implemented to work with other system software
- Applying ongoing maintenance from the DBMS vendor
Ensuring Data Quality
- An organization's data must be useful, usable, available, and correct
- To make this a reality DBA must performs in a variety of areas
DBA General Tasks
- Database Design
- Performance monitoring and tuning
- Database availability
- Security
- Backup and recovery
- Data integrity
- Release migration
DBA Task: Database Design
- The DBA must transform a logical data model into a physical database implementation
- Must ensure the database can properly enable a useful database for its app and client
DBA Task: Performance Monitoring and Tuning
- Five factors influence database performance
- Workload describes intensity of resources use
- Throughput describes total capability
- Resources refers to the the hardware and software available
- Optimization refers to the analysis reqests
- Contention (conflict) describes components attempting to monopolize the resources
- Database performance optimized to minimise workload
Workload
- Combination of online transactions, batch jobs, ad hoc queries, data warehousing, analytical queries, and commands
Throughput
- Defines overall capability of the computer hardware and software to process data
Resources
- Hardware and software the system can use
Optimization
- Refers to analysis of database requests
Contention
- Condition in which two or more components of the workload are attempting to use a single resource in a conflicting way
- For example, dual updates of some data
- Contention increase > throughput decreases
3.Database Availability Tasks
- Databases must be available on-demand
- Automated alerts warn of DBMS outages and the need for corrective action
- DBA designs the database to maintain minimum disruption
4.Database Security and Authorization
- Prevents security breaches.
- Only authorize programmers and users to access the database.
- DBAs ensure data is available to authorized users.
Security Administration Actions
- Grant and monitor access to a variety of tasks to manage user accounts Creating database objects (databases, tables, views, etc.)
- Altering structure of database objects
- Reading and modifying the data
- Creating and accessing user-defined functions and data types
- Start/stop databases (and associated database objects)
- Setting and modifying DBMS parameters
- Running database utilities (LOAD, RECOVER, REORG)
5.Backup and Recovery
- DBAs prepared to recover data in the event of a problem
- Problems can come in all shapes and sizes
3 Types of Database Recovery
- Recover to current – Reverts to current version
- Point-in time recovery – Revert to prior version
- Transaction recovery – Rollback specific transactions
6.Data Integrity
- Database designed to store the correct data
- Database designed in the correct way
- Damaged data not stored
- Corrupted data not stored
3 Aspects of Database Integrity
- Physical
- Semantic
- Internal
Types of Database Constraints
- Referential integrity constraints
- Used to specify columns in tables to define relationships
- Unique constraints
- Ensure that the values or a column or set of columns only appear once in the table
- Check constraints
- Used to place more complex integrity rules inside tables
Data Types
- Physical constraints that enforce the type of data stored
Semantic Integrity
- Refers that data in the database has good data quality
Internal Integrity
- Refers to the integrity of the database internal structure
Index Consistency
- If index is out of sync access fails
Pointer Consistency
- Ptrovides reliable access to multimedia
Backup Consistency
- Checks old backups integrity
7.DBMS Release Migration
- Managing migration from release to release is key
- DBMS products change frequently
- New versions of DBMS released almost yearly
- Keeping DBMS running and up-to-date is ongoing
- Effort consumes many DBA cycles
- Approach must conform to organization’s needs
Common Type of DBA
- System DBA focuses on physical aspects
- Database Architect: Design + implementation of new databases
- Database Analyst
- Data Modeler
- Application DBA
- Focus on database design and ongoing support
- Able to perform data change management/performance
- Task Oriented DBA
- Specialized DBAs that focus on a specific task
- Performance Analyst
- Focuses on performance
- Data Warehouse Administrator - Online Analytical Processing (OLAP) for performing in-depth data analysis
System DBA Tasks
- Installing new DBMS versions
- Applying maintenance fixes
- Setting and tuning system parameters
- Tuning the operating system, network, and transaction processors
- Ensuring appropriate storage for the DBMS
- Enabling the DBMS to work with storage devices
- Interfacing with other technologies
- Installing third-party DBA tools.
Skills for A Database Architect
- Creating a logical data model
- Translating logical data models into physical database designs
- Implementing efficient databases (physical storage)
What is Data Warehousing?
- Data warehouses involve collecting data from many places
- Storing it
- Managing it to see business value
OLAP vs OLTP
- OLTP (Online Transactions Processing) efficiently manages of short transactions
- OLAP (Online Analytical Processing) organizes analytical queries without affecting transactional systems.
Multiplatform DBA Issues
- Managing multi-platform environments complicates database administration Issues to address:
- Features of each DBMS
- Features and characteristics of the operating system
- Networking
- DBMS Skills
- Support for programming languages
- Organizational requirements.
Production Versus Test Environments
- Environments created to qualify database implementation
- Test and Production
- Development happens in the TEST, apps runs in PRODUCTION
- Test + QA
- Programmer tests output and contents of database
- Program logic is correct.
- Quality assurance environment
The Impact of Newer Technologies on DBA
- DBAs need to be to be on top on new new technologies
- Understand how databases integrate with new technologies
Let's analyze three newer technologies that rely on databases:
- Database-coupled application logic
- Internet-enabled E-Business development
- Handheld computing
Procedural DBAs: Managing Database Logic
- Logic must stored in DBMS.
- Database provides triggers, and functions
- Provide the ability to have functions and database talk to each other. Or have multiple DBs talk to each other
Stored Procedures
- A stored procedure is a pre-prepared SQL code that you can save, for reuse.
- Stored procedures can be programs that can run within a database.
- The movement of the application from client side to database server
- Stored procedures reduce overhead + increase performance
- Freestanding database object that is not"physically" associated with another object.
- Stored procedures can access 1 or many tables
Triggers
- Triggers - event-driven specialized procedures attached to database tables.
- Trigger code is executed by the RDBMS as data changes in the database.
- Each trigger is attached to single, specified table.
- Triggers advanced rules that can be activated by an event
- INSERT, UPDATE, or DELETE
e-DBAs
- Can manage Web-based applications + Internet issues
- Internet skills enable those applications
Factors Impacting Database Administration
- 24/7 Data Availability, New Technologies + Web connectivity
- Integration of “legacy” data with Web-based apps
- App architecture and integration
- Web-based administration
- Internet performance engineering
- Unpredictable workload
DBA in the Cloud
- DBAs are needed to administer could databases
- They will face similar availability issue
DBA Certification
- Exams exist for IBM, Microsoft + Oracle platforms
- Testing shows capability to do tasks + duties
- Show that you have certified in professionals skills
- Helpful, but jobs require on site work experience
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