Oracle DBA Tutorial | Learn Oracle DBA with Examples


Oracle Database administrator :

Before getting deep into Oracle database administrators, let us know about databases. A database usually refers to the collection of the information which will be represented in an organized and structured format. All the databases can be efficiently updated, retrieved, and analyzed based on the requirements. A notepad or Excel might not be capable of handling large volumes of data, files and users. Also, restoration of data, backup and extraction of the data is not easily possible using these applications.

To overcome these limitations, oracle has come up with an Oracle database. Oracle database is also called Oracle RDBMS or Oracle. Oracle DBA is referred to as a relational database management system whose primary focus is to store, manage and retrieve the information to ensure that the performance levels are high and efficient.

Oracle database administrator is not a single person but referred to as a group of specialists. Oracle DBA works on a grid-based architecture, and it is also one of the first-ever databases that are flexible to work with enterprise grid computing. An Oracle database administrator is responsible for administering the Oracle database server. Every database requires a database administrator to manage and administer it. As we handle large volumes of data and users, a single person cannot control the whole of the data management. Hence there will be a group of database administrators who are responsible for sharing their responsibilities and make sure tasks are accomplished.

Oracle database administrator is the one who is responsible for the organization, management, and integration of the company’s data which will be represented in large volumes. There are many different roles, responsibilities, job titles in DBA which will be varying wildly. A database administrator is involved in applying the knowledge of the database management system to define, create, maintain, backup, and secure the organizational data.

The primary responsibility of the database administrator is to ensure that authenticated users have access to the data that they need whenever they need to perform any task. A database administrator should also have the problem-solving capability and have expertise on the relevant databases and technologies where he will be able to communicate effectively with the techies and non-techies in the organization. The database administrators also work closely with the other different departments like Business Analyst and help in developing the database that supports the business needs and helps in keeping the database running smoothly and efficiently in a fast way.

If job security is one of the essential aspects for you, and this is the right time to become a database administrator. As per the surveys conducted, it is analyzed that there will be 11% of growth in the database administrator jobs by the year 2026. This leads to an increase of 7 percent on an average for all the occupations.

Responsibilities of Oracle database administrator:

A Database administrator or a DBA is responsible for managing and maintaining complex databases as organizations hold large volumes of databases. Every organization ensures to review and keep track of the commerce and the other activities, which help in analyzing the future of the organization.

In short, a database administration is one of the recording fields, which helps you develop your career effectively and efficiently.

DBA is responsible for performing some tasks that are purely related to the data. Here are some of the roles and responsibilities a database administrator would undergo.

1. Database administrator is the one who is responsible for the installation and up-gradation of the Oracle server and the respective application tools.

2. They are responsible for creating the primary database storage structures, which are called tablespaces after the designing of the application has been completed by the application developers.

3. A dba is also involved in monitoring and optimizing the performance of the database, controlling the access users to the database, ensuring that the compliance values are met within the Oracle license agreement.

4. He is also responsible for modifying the database structures whenever they need based on the information that is given by the application developers.

5. DBA is involved in creating the primary data storage structures, direct objects like table views indexes, involved in allocating the storage system and also some and analyzing and planning the future storage requirements that are required for the database.

6. A database administrator also needs to ensure that they are ready for the backup and recovery of the database information, restoring the database, maintaining the archived data on tape, enrolling the users and maintaining the system security by giving them access only to the authenticated users, etc.

7. Database administrators are also responsible for contacting the Oracle Corporation whenever they need support from the technical support teams.

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Features of Oracle database:

Oracle database is referred to as a cross-platform helps in performing the various tasks, running on the various hardware across different operating systems like Linux, Windows Server, and other distributions of Linux/GNU.

  • Oracle database is also said to be an ACID compliant, ACID-compliant database that is responsible for maintaining the data integration and reliability of data.
  • Oracle database also comprises its networking stack that helps in allowing the applications from different platforms to communicate with Oracle database smoothly.
  • Oracle is the database that it is committed to many available technologies, by providing its extensible support from the late 1990s.

Oracle database also has the structural features which are briefly explained below:

1. Partitioning: Oracle database has come up with the partitioning features which is referred to as a high-performance feature that allows you to divide the last table into different small pieces, allowing you to store each small piece across other storage devices.

2. Logical data structure: Oracle uses the logical data structure where it is stored the data for interaction with the database without actually knowing that the information is stored physically.

3. Data dictionary: Data dictionary is one of the features in the Oracle database that consists of the internal tables and view which help in providing their support to administer the Oracle database more effectively and efficiently.

4. Memory caching: Oracle database uses the memory caching architecture, which helps you to scale up the last database that can help you perform at high speed.

5. Clustering: Oracle is providing high support and high availability that is helping the system to be up and running without any interaction of the services even if there is a cluster failure if one or more servers in a cluster fail.

6. Backup and recovery: To ensure the data integrity is maintained, oracle has a powerful tool called recovery Manager, which helps the DBA in performing the backups and point in time recoveries.

Oracle database architecture:

Oracle database maintenance and architecture includes three main components or categories. They are represented below:

1. Shared memory
2. System support infrastructure
3. Operating system files

Let me give a brief explanation about every component in the Oracle database architecture.

Shared memory:

Shared Memory is referred to as section of the host server memory, which is responsible for the passing the data and application code is stored executed.

Shared memory is often referred to as a Random Access Memory in the architecture of Oracle. Most of the adopters of Oracle Technology will make use of the words cal database and instance synonymously. However, there is a difference between both of them.

A database is referred to as the assortment of the files which are used to store the data and also a handful of work of files that help in the facilitation of the application access.

An instance is referred to as a segment of the shared memory which is providing its extensive support to the process, that also has the capability for applications to work with the data that is present in the database. Once shared memory is started, there are different areas of the shared memory that play a significant role in the database management activities.

The System Global Area, or SGA, comprises the data and also controls information from a single database instance.

The Program Global Area or PGA is referred to as a part of memory that is allocated to a 12c instance. The PGA memory is not shared memory like the SGA memory. The page contains the data and the control information that is specific to the server processes and is not considered as an instance as a whole.

The user Global Area or UGA is referred to as a memory that is associated with each user session.
UGA is also referred to as one of the most important components among the four main memory components available. It is not possible to get the details of each of these components.

Let me give you an overview of the shared memory components of a 12c database.

Auto memory management:

Auto memory management in a 12c database refers to the maximum amount of memory that is used which is defined. The instant is also responsible for the self-management of the size of the assortment of the SG components. The auto memory management approach is used by Oracle mostly and is also referred to as the automatically shared memory management (ASMM).

Manual memory management:

In manual memory management, the administrator is responsible for specifying the fixed size of the components that will make up the SGA. The size of each component is specified in the system parameter file.

System support processes:

System support processes are initiated automatically once the Oracle instance is started. Each process has its importance and performance in the management of the application interaction with the data available.

Below are the set of background processes that support the database.

1. Ckpt: The checkpoint process will help in synchronizing the control file in the data file headers with the available checkpoint information. Apart from this, it also signals the database to write a process that it is time for it to perform the activities that need to be completed.

2. Dbwo: The database writer process is involved in copying the contents of the database offers in the memory to the appropriate database files as per the requirements.

3. Lreg: The listener registration process is responsible for registering the instance information for the Oracle net listener process. If there is an instance where the listener process is not running during the startup, then Lreg tries to attempt to contact it from time to time basis and pass relevant information.

4. Mmon: The manageability monitor process is responsible for establishing the association with the fact that are related to the auto is an automated workload repository.

5. Pmon: The manageability monitor light process also plays an important role in the active session history module. The active session history samples the database activity every second, all the rate of that is trapped can be used for tracking performance issues.

6. Reco: The process monitor is considered as a gatekeeper of the Other server processes, responsible for monitoring all the background processes. It is also involved in performing the recovery activities when the situations come up like the processes end abruptly. It is also responsible for performing resource cleanup activities when required online sessions.

7. smon: The system monitor process is responsible for handling the instance cleanup tasks like a recovery at the startup time if any inconsistencies would cause instance failure.

Operating system files: Operating system files are referred to the suit of fewer than 10 files which have their own individual roles as a database runs.

Below is a list of the operating system files and have their own prominence.

1. Control file: The control file is responsible for managing the metadata of the running instance. There should be at least a minimum of to control files.

2. System parameter: System parameter file includes a list of the parameters and the values that have to be used when the instance is started.

3. Password file: Password file plays an important role in determining who is allowed to initiate the connections to the database in order to perform certain activities and ensure security.

4. System tablespace: If system tablespace is referred to as the heart of a 12c database that comprises the data dictionary as well as the host tombstone information that is relevant to the database activities.

5. Undo tablespace: Undo tablespace is referred to as a player in the Oracle’s read consistent model that contains information required to roll back non committed changes to the data.

6. Temp tablespace: The temp tablespace is referred to as a work area that is used for the Intermediate result sets assembling during the query processing and also to support the sort activities.

7. Online redo: Online redo is referred to as a transaction log that comprises the record or the copy of all the activities that have been happening in the 12c database.

8. Tools tablespace: The tools tablespace is referred to as the user-defined tablespace that is used to house non-system related data.

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Terminologies used in Oracle DBA:

You need to understand the basic terminologies that are used in Oracle DBA. We have collected some of the basic terms that are most commonly used in Oracle DBA in this tutorial, as explained below:

Instance: An instance is referred to as the background process and the memory structure that is specifically used to retrieve data from the database.

Process: Process is often referred to as the task or a job that needs to be performed. Oracle comprises two different types of processes. They are Oracle processes and user processes. The operating system commands are not required to be used to interact with the database.

Buffer cache: The buffer cache is referred to as the SGA component that is responsible for storing the data being customized or query and acts as a buffer. The buffer cache is responsible for storing the most recently or frequently used data in the memory to improve the performance. The user processes that are connected to the database will have or share access to it.

Shared pool: Shared pool is responsible for capturing information that is required to be shared with the users. Shared pools include SQL statements, stored procedures, etc. that can be used for reusability and fast access.

Large pool: Large pool is the options area that often provides or offers in memory allocation for extensive processes. It includes oracle backup and recovery operations.

Redo log buffer: The redo log buffer is used to maintain the changes that are made in the database. The redo log files can be overwritten and will run in a circular motion. The redo log helps in recovering the instance whenever there is a failure that occurs. The redo log buffer helps in improving the performance and functionality of the database system.

Locks: Locks are used for controlling the simultaneous access to different data resources.

Database objects in Oracle:

1. Tables: Tables are referred to as common objects that are considered as an integral part of the database. Once the table creation is completed, and the data should be stored by following some of the basic rules like data types, values etc. The table includes all the important rules, and it is easy to access and also compatible to be modified with simple SQL commands.

2. Views: Whenever the database administrator would like to limit the access to the data, a view should come into the picture. There are different types of views of data that can be defined based on the company and user requirements.

Let us take an example where you would like to share the Limited amount of information with the other organization, and then you need to master the rest of the information with proper SQL commands.

Views are introduced to ensure the security aspect is maintained.

3. Synonyms: Synonyms here referred to the process of allowing the users referring to the different objects that are stored somewhere else in the same or different database. These objects are also called handy objects which can be used with the alternative names in the table, and you can also set a pointer to the real table.

Synonyms are referred to as a main memory management technique which some of the objects can be reused and it helps in the Optimization of the overall storage space for the database objects. The database programmers mostly use this concept, and it is used since decades which would increase the throughput of the application code.

4. Stored objects: Store objects are those objects that help in promoting the encapsulation of the code which can be Run either implicitly or explicitly to perform the predetermined task. The most important aspect that needs to be focused on is the usability of the Stored objects which can be reused again and again whenever there is some action that needs to be done. Stored objects help in maintaining consistent performance and also secure the processing together. This object can be divided into functions, procedures, packages which are used to declare the variables, constants, and cursors for exceptional handling.

Benefits of Oracle database:

Oracle has come up with a set of advantages that would help in improving the performance and efficiency, also involved in meeting the client requirements efficiently. Let us have a quick review of the benefits of Oracle database and its help to the Oracle database administrators.

1. Performance: Oracle has come up with the principles and methodologies that are helping in achieving higher performance than any other databases. In Oracle, we can implement the performance tuning in the database, leading to faster retrieval of the data and also altering the data, further leading to the improvement in the query execution time.

2. Editions: Different editions are offered by Oracle. Oracle provides benefits to the users to purchase the edition as per their application requirements and the client requirements. The additions can be updating seamlessly if there is a change in the requirements in the future. The express edition is absolutely free, and you can use it if you want to give a trial and work on the Oracle database to get some hands-on experience on Oracle.

3. Clusters: Oracle uses the real application clusters which help in improving the high data availability systems. The database that contains the real application clusters will have many benefits over the traditional database servers like load balancing, flexibility to increase the processing capacity, scaling up the database over multiple instances, and data redundancy and availability.

4. Multiple databases: Multiple databases involve the management of multiple database instances on a single server. Oracle uses instance casing method to manage the CPU allocations on a server that is running the database instances.

5. Failure recovery: Oracle includes a recovery manager, which is one of the essential features in the Oracle database. The recovery manager has the capability to recover and restore the database files during the outages and downtimes.Users are also allowed to use the user-managed recovery which is supported by Oracle.

6.PL/SQL: Database also provides extensible support to PL for performing procedural programming.

Drawbacks of Oracle database:

There are some set of disadvantages or limitations in the Oracle database. They are explained below:

1. Management of the structure: The management of the structure in Oracle tends to be complex sometimes and seems to be difficult to manage for performing some activities. It is highly recommended to use the basic version and configured with minimal customization.

2. Incompatibility and complexity: Oracle processes some incompatibility and complexity, which is considered as a limitation in terms of time, character and data Syntax sensitivity.

3. Price: Most of the time, there is no price for a specific budget for Oracle licence. Any changes over time, it depends on the change of a policy, updates, patches by the organization.

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Conclusion:

Oracle database is one of the most commonly used databases in the organization.There is a high need for the database administrators who are involved in implementing and performing the database operations efficiently by meeting the offline customer requirements.Most of the organizations are looking forward to individuals who have the expertise to be a database administrator. Oracle database administrator is one of the prominent roles in the database management field,which is a rewarding field in the current times.Hence,I recommend you to go through this tutorial, also get trained and certified in Oracle to attain a prosperous career in the near coming future.

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What is Kotlin?

Kotlin is an object-oriented, statistically typed computer programming language and is open-sourced. Kotlin runs on Java Virtual Machine and is capable of working across a number of platforms. We define a language as statistically typed if its variable type doesn’t get to know at run time but is defined at compile time. This language is compatible with working with Java. It comprises a lot of functional features for programming as well. 

Kotlin was designed by JetBrains. The very first version of Kotlin got released on 15th Feb 2016. The main use of Kotlin is at the server-side for development. In addition to this, it also works for Client-side development as well as Android development. 

Let us see a basic program in kotlin language:

fun main() { 

  println("Welcome to python vs kotlin tutorial") 

}

The output of the python program:

                             Welcome to python v/s kotlin tutorial

What is Python?

Python is a computer programming language that was designed by Guido van Rossum. The release date of python is 1991 and is majorly used in web development, scripting systems, mathematics, and the development of software. The programmers use python language along with the software which creates workflows. We also use python for handling work-related big data and for performing complex mathematical problems. Along with this, Python comes into use for the fast prototyping and development of software.

Python works as both procedural and object-oriented language for users. It is free as well as open-source and works well with various operating systems like Mac, MS, Linux, etc. Python is always chosen because of its feature of readability as it has a lot of similarities with English with a hint of maths.

Let us see a basic program in Python language:

print("Welcome to python v/s kotlin tutorial")

The output of the python program:

                                            Welcome to python v/s kotlin tutorial

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Comparison between Kotlin and Python

Though both these languages are great to work with, however, let us see a few points below to understand the major differences between them.

  • Description: Kotlin is known to be an object-oriented, statically typed language which means its variable type doesn’t get known at run time but is defined at compile time. However, Python is an object-oriented high-level language.
  • Development principles: The development principles for kotlin are based on behaviour-driven principles such as S.O.L.I.D however for python the development principle is based on python-zen.
  • Template language: Kotlin is dependent on HTML 5 as its template language whereas python is comfortable working with chameleon, Django Template System, and Jinja Adobe Flash Support.
  • Influences: Kotlin is influenced by Java, Godu, Scala, Pascal, C#, etc whereas python is influenced by C, Java, Pearl C#, etc.
  • Programming Paradigm: Kotlin is an object-oriented language that is functional and works with imperative programming, metaprogramming, and reactive programming. Whereas python in an object-oriented language that is functional and can only work with imperative programming. 
  • Compiler: Python doesn’t have its own compiler whereas Kotlin has. Moreover, it supports a number of other compilers as well such as eclipse, android studio, etc.

Potential reasons for using Kotlin

  • Easy code design: It is possible for the programmer to write easy code in Kotlin to accomplish the desired output. It allows the user to write the least code possible which improves the app performance.
  • Adaptability: it is very easy for the user to shift his tasks from an android app to kotlin. 
  • Functionality: Kotlin allows its users to execute the tasks efficiently in a very easy and quick manner.
  • Error and security: This language is not much prone to errors as it tends to eliminate a lot of errors related to coding itself. It also eliminates the chances of code reducibility when the user writes small code.
  • Multi-platform capacity: Kotlin supports a lot of platforms such as the android app platform, Java, Gradle, etc.
  • Full Java compatibility: Kotlin allows its users to use all the Java libraries and its framework while coding in the Kotlin language.

Potential reasons for using Python

  • Third-party modularity: There is a presence of third-party packages in python where the modules promote the communication within a few languages as well as platforms.
  • Extensive libraries: Python language consists of internet protocols, operations related to strings, interfaces in operating systems as well as web services present inside a standard library. A lot of tasks that are executed are already there in the library which is scripted hence reducing the unnecessary writing work in the programs.
  • Open source: Python is an open-source language and provides an OSI-approved licence for easy commercial use. 
  • User-friendly: Python is a user-friendly language that allows its users to design the data structures within the language quickly during the runtime process.
  • Speed: Due to its object-oriented design, python has tremendous testing capabilities in its own framework which contributes to improved productivity as well as better speed.

Features of Kotlin

Null Safety: As a developer, while developing an android app, it is a familiar fact that approximately 70% of the apps crash because of Java null pointer exception. Java is not able to provide any methods to protect this. A programmer has to take care of this on his own. However, Kotlin is known to handle nulls very nicely. There is no chance of getting a null pointer exception in Kotlin implicitly. It is because this language never allows a type variable with a null value during the compile time. 

Extinction Function: Kotlin has introduced and combined many new features such as Lambda functions, operator overloading, smart casts, etc. as it is known to be a fourth-generation language.  All functions help in increasing productivity. Kotlin has emerged as a combination of 6 other languages having the best features of all of them.

Efficiency: In most cases, the efficiency of kotlin code is very similar to the efficiency of java code. In fact, it might exceed as well depending on the type of development application.

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Features of Python

Advanced Language: Python is an advanced language having data structures, lambda functions, list slicing, and a lot more. It has a lot of advanced features making it a dynamic language.

Python transportable language: It is very easy to write a python code and run it anywhere. A user doesn’t need to re-write the code like other languages if he has to run it on a different platform.

Python Integrated Language: Python is an interpreted language hence it will execute the code line by line. A user does not need to compile python code every single time which makes the error debugging in python very easy and quick.

Free and open-source: It is free for its developers and provides an open-source platform.

Advantages of Kotlin

  • This language allows its users to write less code as compared to other languages.
  • IT solves major challenges faced by programmers.
  • There is no overtime issue while compilation is kotlin.
  • It supports multi development environment along with safety and security
  • It is very compatible with the java language.

Disadvantages of Kotlin

  • Kotlin has minimum opportunities for learning. Even when a lot of programmers are switching to kotlin for their development work, it has a limited set of tools to provide to its users. 
  • The compile-time speed for kotlin is not great. Kotlin is no doubt faster than java when it comes to the development part, but java still provides better building.
  • There are very few programmers who are working and developing with kotlin. Hence, when we talk about recruitment opportunities in kotlin, they are very less as compared to other languages.

Advantages of Python

  • As we say kotlin is statistically typed, while Python is dynamically typed which is a major advantage for this language.
  • Python is considered to be one of the highest level languages which are very easy to learn, write and read.
  • Python follows interpretation which means python executes its code line by line.
  • It is free for its developers and provides an open-source platform.
  • Python provides an amazing opportunity to its developers where a code written runs can be executed anywhere. Like C, C# a user does not need to change the code again and again.

Disadvantages of Python

  • As we discussed that python is an interpreted language hence it will execute the code line by line. But this whole process reduces the execution speed of the python program.
  • Each python program when stored consumes a large amount of memory in the storage. This becomes a major drawback while developing large-scale applications in python.
  • As we have discussed earlier also that python is a dynamically typed language, which means the variables can get changed anytime. This can cause a lot of run-time errors during the development phase in python. 

Is kotlin better than python?

If a user is well versed with a language like a python which has all the abilities, then no wonder why a programmer would need kotlin. Python is one of the most loved languages by the users and is great to work with for the developers. However, there are some cases where python fails to satisfy the desired output.

Python is an efficient as well as a dynamic language however it is of no harm to learn a language that is statistically typed. Where there is a demand for large-scale projects, Kotlin is the one language that provides the right platform with no disadvantages. The disadvantage could be verbose syntax. Kotlin language gives the user the ability to perform better while coding. Where python is not appropriate to write small programs, kotlin satisfies this need for its end users efficiently and also provides an adequate solution.

When we compare Kotlin and Python, Kotlin definitely is more loved by the programmer. It consists of all the small factors which are indefinitely not covered by Python. Hence, we can conclude by saying that Python is a great language, but Kotlin covers the additional base factors which are missed in Python for programming. Hence, kotlin helps in targeting more solutions according to the desirability.

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Conclusion

If a user is comfortable programming in python and he still wants to learn a language that is in high demand in the market these days, then kotlin is not just great but the best contender in that field. In this article, we have discussed both Python as well as kotlin, where python is more of an object-oriented language whereas kotlin is more of a statically typed language. You will also understand the potential of both these languages along with the advantages, disadvantages, and features.

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