What do you need from a database monitoring solution?

A good database server monitoring software needs to focus on bringing in a very high availability to the database servers. It also needs to make sure that the connection time is short and the buffer cache size is very good too. Also, a reliable database monitoring system will analyze the connections and usage trends too. This helps boost the overall experience, and it brings in front some astonishing benefits for the long term. But maybe the most important feature for database monitoring is that it can take actions proactively. It’s important to identify and prevent problems before issues occur, and that’s where a reliable system like this comes into play.

This article on Ultimate Guide to MySQL Monitoring Tools will give you insights about the use of MySQL database monitoring tools and their importance.

Is there a need for database management?

Unlike a decade ago, database management isn’t solely about storing or creating/deleting data. Managing information is just as crucial and valuable, and it can indeed bring in front some really tangible benefits. It’s also offering some unique analysis opportunities too. Plus, it can be really helpful, as you can see below:

• The database management system is an extension of the human logic. Databases can be used to report, query and correlate the shared information. Results are better for your business, and you will always have the data safely stored at all times.
• Thanks to database management systems, you will find it easier to access and handle big data content. As a result, your company gains the competitive advantage, since you have immediate access to your customer’s usage patterns and other relevant information.
• Everything is automated here. You can change some of the features here and there, but the benefits are amazing, and in the end, you just get to have an amazing return on investment from this, which is good and handy.
• No one wants to do manual data processing. Thanks to a good database management system, you perform that on the spot and without the need for a lot of input. It just works very well, and with results that you will appreciate a lot.
• Thanks to database management software you can monitor availability, performance, and usage for each one of your databases,
• You receive information when there are any errors. Not only that, but the database management software also brings in front any of the necessary corrective actions that you may have to focus on at this point.
• Scalability is another important feature offered by most database management software solutions. The program can easily scale its resources and features based on your needs.

As you can see, using database monitoring and management software can be very handy. You get to make the most out of your databases, not to mention that everything can be adapted to your needs and expectations regardless of the situation. The return on investment is huge, and the opportunities presented here are extremely interesting. Just consider using a good database management software and you will see how helpful this solution can be for your entire company’s performance and productivity! To get additional insights on how the database designers can manage a database efficiently and effectively, please refer to this article on Database Management System and its Advantages.

Conclusion

In this article, we have discussed the need for database monitoring system and for a database management system. In the process, we have also seen how this will benefit an individual or an organization. Do you know of any other benefits of DBMS? Share it with everyone by leaving a comment below.

Definition of Database Management System (DBMS)

A Database Management Sуѕtеm (DBMS) is a соmрutеr-ѕоftwаrе application thаt intеrасtѕ with еnd-uѕеrѕ, other аррliсаtiоnѕ, аnd thе dаtаbаѕе itѕеlf tо сарturе and analyze dаtа. A general-purpose DBMS allows the dеfinitiоn, сrеаtiоn, ԛuеrуing, update, аnd аdminiѕtrаtiоn оf dаtаbаѕеѕ.

A “Dаtаbаѕе Management Sуѕtеm“ commonly referred аѕ DBMS is соmрutеr software designed for thе purpose of mаnаging databases bаѕеd оn a variety оf dаtа mоdеlѕ. A DBMS iѕ a соmрlеx set оf ѕоftwаrе рrоgrаmѕ that соntrоlѕ the organization, ѕtоrаgе, management, and retrieval оf dаtа in a dаtаbаѕе.

A Dаtаbаѕе Management Sуѕtеm inсludеѕ:

• Mоdеling Lаnguаgе: A modeling lаnguаgе uѕеd tо dеfinе the logical schema of еасh dаtаbаѕе hоѕtеd in the DBMS, according to thе DBMS data mоdеl. It has several models but mоѕt commonly uѕеd today iѕ ad hос оnе embedded in SQL.
• Dаtа Structures: It iѕ uѕеd tо tackle with vаѕt amount of dаtа ѕtоrеd оn реrmаnеnt dаtа storage dеviсеѕ.
• Dаtаbаѕе Quеrу Lаnguаgе: A dаtаbаѕе ԛuеrу language and rероrt writеr tо аllоw users tо intеrасtivеlу intеrrоgаtе thе dаtаbаѕе, аnаlуzе its data аnd update it according tо thе uѕеrѕ рrivilеgеѕ оn dаtа. It аlѕо controls the security оf the database.
• Trаnѕасtiоn Mесhаniѕm: It idеаllу wоuld guarantee the ACID рrореrtiеѕ tо еnѕurе dаtа intеgritу dеѕрitе соnсurrеnt uѕеr accesses аnd faults. It also mаintаinѕ thе intеgritу of thе dаtа in thе dаtаbаѕе.

Dаtаbаѕе management systems are used fоr аll kindѕ of rеаѕоnѕ. Big Fortune 500 companies will uѕе thеm tо kеер соmрlеx and accurate infоrmаtiоn оn аll their customers. Bаѕiсаllу, a gооd Database Management Sуѕtеm will process, оrgаnizе, аnd ѕtоrе infоrmаtiоn intо a system, аnd make rеtriеvаl ѕimрlе аnd as еаѕу аѕ роѕѕiblе. Alѕо, it will wоrk tо сеntrаlizе аll the information into оnе ѕуѕtеm, ѕо you саn easily have everything аt уоur fingertips, аnd have it thеrе ԛuiсklу.

All dаtаbаѕеѕ hаvе a certain оrgаnizаtiоnаl ѕtruсturе, which filеѕ аwау аttributеѕ оf thе information, whiсh уоu саn then ѕеаrсh fоr аnd locate within thе dаtаbаѕе. Lеt’ѕ uѕе a common еxаmрlе to illustrate this. Lеt’ѕ ѕау уоu hаvе a database of thе different kindѕ of shirts уоu hаvе in уоur сlоѕеt. Onе attribute оf thе ѕhirtѕ would be their ѕizе — which саn be еxрrеѕѕеd in ѕmаll, mеdium, lаrgе and so оn. Another аttributе соuld bе thе соlоr of the shirt — rеd, bluе, orange, etc.

If thеѕе were organized in a dаtаbаѕе, thеn уоu соuld tуре in a соmmаnd tо thе dаtаbаѕе to gеt thе infоrmаtiоn уоu ѕееk. Fоr example, lеt’ѕ ѕау уоu wаntеd tо know hоw many mеdium-ѕizеd blue ѕhirtѕ уоu have in уоur сlоѕеt. Yоu соuld givе оrdеrѕ tо thе dаtаbаѕе tо lосаtе еntriеѕ within the dаtаbаѕе thаt match both thе аttributе оf being blue, and being a mеdium ѕizе. Anу good dаtаbаѕе соuld givе you bасk in inѕtаnt аnѕwеr to thаt question.

Advantages of a DBMS

Uѕing a Dаtаbаѕе Management Sуѕtеm to ѕtоrе аnd mаnаgе data соmеѕ with advantages, but аlѕо оvеrhеаd. Onе оf thе biggest аdvаntаgеѕ оf uѕing a DBMS iѕ thаt it lеtѕ еnd uѕеrѕ аnd application рrоgrаmmеrѕ ассеѕѕ аnd uѕе thе ѕаmе dаtа whilе mаnаging data integrity. Data iѕ bеttеr рrоtесtеd аnd mаintаinеd when it саn be shared uѕing a DBMS inѕtеаd of creating nеw itеrаtiоnѕ of the ѕаmе dаtа ѕtоrеd in new filеѕ fоr every nеw аррliсаtiоn. Thе DBMS рrоvidеѕ a central ѕtоrе оf data that саn be ассеѕѕеd bу multiрlе uѕеrѕ in a соntrоllеd manner.

Central ѕtоrаgе аnd mаnаgеmеnt оf dаtа within the DBMS рrоvidеѕ:

1. Dаtа аbѕtrасtiоn and independence
2. Dаtа ѕесuritу
3. A lосking mechanism for соnсurrеnt ассеѕѕ
4. An еffiсiеnt hаndlеr to balance thе nееdѕ of multiple applications using the same data
5. Thе аbilitу to ѕwiftlу recover from сrаѕhеѕ аnd еrrоrѕ, inсluding rеѕtаrtаbilitу аnd rесоvеrаbilitу
6. Robust dаtа intеgritу capabilities
7. Lоgging аnd аuditing оf асtivitу
8. Simple ассеѕѕ uѕing a ѕtаndаrd аррliсаtiоn рrоgrаmming intеrfасе (API)
9. Unifоrm administration рrосеdurеѕ fоr dаtа

Conclusion

So, in this article, we have covered the basic introduction to a Database Management System, a.k.a. DBMS. We have also seen some of the core advantages that a DBMS provides to us. Do you know of any other advantages and practical applications of a DBMS? Feel free to state your opinion in the form of a comment below.

Definition of a Database Schema

A database schema is the outline structure or a blueprint of a database. It is used to represent the logical view of the database. It shows us how the data is organized in tables and the relationships between them. It also summarizes all the limitations and structure of the data.

Example of a Database Schema

Let us try to understand this with a practical, real-time example, as follows:

• Consider that you want to build a house. In order to build a house, you need to plan accordingly first. So, what do you do? You take a piece of paper and start drawing the outline of the house that shows the perimeter of the house, how tall and how wide it would be.
• After you are done with that, you would also draw lines in this blueprint that would symbolize the different rooms of the house. In a house you generally have different rooms such as kitchen, bedroom, the main hall, etc. You also want to make sure that you plan accordingly so that you have enough space for each of the rooms that you want to allocate.
• Now let us assume that you have kitchen as the left most room, with the main hall in the middle and then, the bedroom to the right. Now you would draw this in the blueprint, right? So, once you have finalized this blueprint when you approach a builder to construct the house for you and show him your plan.
• When the Builder looks at this blueprint, he immediately understands your vision of the house. This blueprint lets him plan accordingly and if he has any concerns regarding your plan he would discuss them with you and you both can arrive at a mutual agreement as to how you would proceed further.
• So, the main thing to note over here is that how was the builder able to understand what you wanted precisely? That was because you had an underlined sketch that you shared with him and that had all the drawings that gave him a direct visual clue of your requirements. So, we can call this blueprint of your house as your “house schema”.
• So now let us assume that the Builder agrees to build your house. He then starts constructing the house based on the agreed blueprint. While he conforms to your requirements as to the layout of the house, at the same time, he would also have to make sure that the construction is based on the standards. He does this just to make sure that the final product (the house) stands strong, is reliable and also meets your requirements.
• So, in real time, the Builder would know how tall to build the walls, how wide the roofing must be etc. This is a physical realization of your logical blueprint. This results in the final product, your house.

So, building upon the example above, we will try to understand what a database schema is. Just like your house consists of different rooms and is an enclosure for your own space that you bought with your own money, here it is the database that acts as an enclosure for all of your data. Just like you have multiple rooms in your household, you have multiple tables in the database. Just like every room holds some furniture and different household items, each of the tables in a database hold rows of data.

Putting all of the above together and speaking in terms of a database, a database schema is nothing but a visual representation of what tables are used in the database along with the column names of each of the tables. In addition to this, the database schema defines the entities and the relationship among them.

Just as you approached a builder to construct your house, you approach a database designer to help construct you an efficient database design. This database designer is the one who actually constructs the entire database schema with the logical view to it.

A database schema consists of two categories:

• Logical database schema
• Physical database schema

Now let us understand about both the types of Schema by comparing it with our example above.

Logical database schema:

Similar to the blue print that you have provided to the Builder, you prepare a blueprint of the database, including the tables structure used, the key constraints and the relationship between the tables.

Physical database schema:

Similar to the call of the Builder on how tall the rooms should be and how wide the roofing must be, the physical database schema represents what actually gets implemented in your database management system. Your physical database model or schema is where your data will eventually get stored.

Just as the Builder uses brick and cement to comply with the standards accordingly, when the database is being created, physical constraints of storing the data are taken into account and the schema is designed accordingly. For example, Physical database schema can contain the data files, you log files, full files, other physical objects that reside on the operating system.

Conclusion

In simple words, database schema represents the structure of a database and the organization of different tables within this structure and the relationship between them. There are different schema objects contained in a schema, examples of which are tables, views, primary keys, monkeys, keep, stored procedures, relationships, etc.

• What exactly is a RDS or Relational Database Service
• 11 Reasons to use a Relational Database Service.
• Practical uses of Relational Database Services.
• Typical charges for a RDS.
• Typical quotas for a RDS.
• Differences between RDS and other types of database solutions.

In order to understand what a Relational Database Service (RDS) is, let’s just take a step back and review the definition of a Relational Database and then we will work our way up to the RDS. Relational Database is just a database that is used to organize data in different ways. The database is the parent container for holding all the data. This database, in turn, consists of multiple content holders called “tables“. These tables contain the actual data in multiple rows, distributed across multiple columns.

If you would like to know more about the basics of a Relational Database along with an example please visit this article on what is Relational Database. To get a fair idea about RDBMS, you may refer to this article Relational Database Management System: An Introduction.

What exactly is a Relational Database Service?

So now that we know that a Relational Database is a database consisting of multiple relationships, Relational Database Service (RDS), is a web service offered to utilize the Relational Database online, on the cloud. In other words, RDS is a web service that is reliable, scalable, and easy to manage out-of-the-box in the cloud.

Typically, RDS provides a professional database management platform that allows you to very easily and efficiently set, operate and scale a relational database as needed. The RDS comes with a console of its own using which, you can perform pretty much all of the required responsibilities with very less intervention and even without programming.

Ways to access the RDS

There are couple of ways in which the RDS can be accessed. They are:

• Via Management Console
• Via API

Accessing RDS via Management Console

Typically, once we order a RDS, we need to login to the RDS management console via the Web interface or the Web UI and access it from there. Using this console, we will be able to administer the RDS DB instances.

Accessing RDS via API

For integrating RDS into third-party systems, we can use the Application Programming Interface or the API to access the RDS.

How and where RDS are located

There are couple of places where the RDS that we purchase, are located. They are:

• Regions
• Availability Zones (AZs)

Regions

The geographic area in which the resources used by our RDS are located, is called a “Region”. It is possible for the RDS services in the same region to communicate with one another over the intranet. For the RDS services that fall in the internet category, communication among them is not possible.

For the reason mentioned above, it is also possible to provision RDS to certain specific regions. A good reason to do this is to meet the specific local laws of that region and other demands.

Availability Zones (AZs)

The Regions mentioned above contain Availability Zones. There could be many Availability Zones within a single Region and this is where the networks and power that a RDS typically uses, are physically isolated. The beauty of AZs is the fact that they provide low-latency network connections that are unaffected by faults that may occur in other AZs. These AZs are also cost-effective and hence, the benefits are passed on to us, the customers.

For the reasons mentioned above, we should always provision RDS in separate AZs so that our applications are protected against the local faults that occur in a specific location, if any faults were to occur.

All of this aims to streamline the business processes and this in turn, decreases the repetitive and routine tasks required for operation and management, thereby increasing our productivity. All this time saved, could be utilized in making other decisions vital for the business.

11 Reasons to use a Relational Database Service

1. Immediate use after the initial setup:

Using RDS cuts the time manifold, as it will be easy to access the capabilities of a production ready Relational Database in minutes, as opposed to previous setup that could extend from hours to days. There is no requirement for running a server and for deploying a dedicated database instance. For someone who opts for RBS, they could get the project files ready and deploy those files over the cloud in just a matter of minutes.

2. Effortless administration

As Relational Database Service is a cloud-based solution for working with databases, it is fast, secure, reliable, stable, scalable, cost effective, and easy to administer. RBS shines in the fact that there is no need for customer assistance in the installation and deployment of data basis. It is automatically performed by the RDS in matter of just few minutes as opposed to hours that are consumed by a typical Relational Database system setup.

3. Stability

RDS runs on the cloud platform. Hence the infrastructure used, will be highly reliable. The reliability of the RDS stems from the fact that when a primary RDS instance is provisioned, RDS automatically duplicates the data to a passive stand by DB instance. Because of this, in case the primary DB instance fails because of any reason or becomes unavailable, the RDS will automatically switch the service to the standby replica in a matter of seconds and serves the data from this replica, thereby providing cushion against any unexpected downtimes.

4. Reliability

RDS also offers tools that are immensely useful for the administration of databases such as disaster recovery tools, recovery, monitoring, and other tools that are necessary for operation and maintenance of the databases.

5. Backups

There are two types of backups offered by RDS. They are:

• Automated backups
• Manual backups

Automated backups

Automatic backups ensure that the data is backed up at regular intervals thus preventing data loss. In order to do this, we can set the backup start time and retention period when creating a DB instance. This will signal the RDS to create a full backup of the DB instance accordingly.

Manual backups

Manual backups ensure that the data is backed up on demand. In order to do this, we have to manually initiate the full backup of the DB instance. Once the manual backup is generated, it is available to us, till we delete it manually.

All of this adds up in favor of Relational Database Service over the cloud.

6. Security

By using RDS, it is easy to control and monitor access to the database. In addition to this, we can run the DB instances in Virtual Private Cloud, also known as VPC. By using the encrypted VPN, we can isolate the database instances and then we can connect to these instances from the existing IT infrastructure. RDS also supports the use of Secure Socket Layer, also known as SSL, to secure the data transmission. This improves our overall security even more and offers more peace of mind.

7. Scalability

RDS is very interesting in the fact that it is scalable in couple of directions. These directions are:

• Horizontal scale
• Vertical scale

Horizontal scale

If we use my SQL and PostgreSQL database engines, then we can create one or more read replicas of the primary DB instance. This is done to offload the read traffic from the primary instance, thereby increasing the speed of the web application. The maximum number of instances that can be deployed at a certain time is 5.

Vertical scale

The storage capacity can be increased by modifying the allocated storage. The computing capacity can be increased or decreased by modifying the DB instance class.

Note: SQL server does not support the read replica and scaling up the storage capacity.

8. Ease of Administration

It is very easy to setup a Relational Database over the cloud. In addition to this, it is very easy and efficient to operate and scale the RDS as per our requirements. It is very easy to perform operation and management activities such as monitoring database health, makeup and recovery, migration connecting to the database instance. It is also very easy to view different operational metrics such as CPU usage, memory usage, input output activity, database connections, storage capacity utilization and more.

9. Cost efficient

RDS is highly cost efficient and very light on the pocket as we just have to pay for the resources that we actually use. This is in high contrast to the other database services that demand a fixed price, regardless of whether the resources used or not. This leads to high saving and more profits for any individual or organization who prefer to accept the RDS for any database needs over the cloud.

10. Reduces cost of operation and maintenance

RDS reduces the cost of operation and maintenance of databases and the complexity involved in doing so, which in other words means profit for us, as a customer. In this way we get to focus more on the application and business requirements rather than spending time and additional resources on Relational Database administration and management.

11. Wide areas of implementation

Relational Database Services can be used in many areas covering a broad spectrum, such as websites, portals, testing environments, enterprise application system, Internet of Things, Mobile applications and many others. We will cover the main areas below.

Practical uses of Relational Database Services

RDS can be used virtually anywhere. Some of the areas are as follows:

1. Websites

E-commerce portals, gaming portals, social platforms, enterprise portals, e-government portals, internet industry are some of the communities that could leverage the raw power of the RDS as it provides secure, high performance, easy to use, efficient and low-cost database services over the cloud.

2. Development and testing environment

Any company or developer that follows a good development strategy, always has at least a couple of instances for development purposes and testing of software. Typically, the first instance is a development instance wherein the development takes place. The second instance is a test instance which is used only for testing the code deployed from the dev environment. This helps in using the stable, reliable and on-demand specification RDS in performing a joint test. This removes the need to build the databases manually, and in turn saves much time and money. This also helps in focusing on the application development and cuts down the software launch time.

3. Enterprise application system

Software that are provided as a service or SaaS and Enterprise office applications can be migrated to the RDS. This reduces the maintenance work load and the IT construction cost as RDS manages the service data. It also helps to access the database services without any specialized knowledge in actual physical database design, thereby increasing the productivity of the employees.

4. Internet of things (IoT)

As RDS provides database storage read and write capabilities for the service in the cloud, this minimizes the need to connect, monitor and manage the terminal things manually.

5. Mobile applications

RDS makes it possible for us to add and configure mobile application software on devices such as mobile phones and tablets. It also performs customer identity authentication as well as push and distribution and data storage activities.

Charges for RDS

The RBS charges are minimal due to the fact that, the actual charges are made only on the resources consumed. This means that the payment is made based on the storage used, the backup resources consumed and the computation power utilized in the process of using the RDS. This also depends upon the service provider that you plan to go with, so take your time to review the market standards at the time you wish to purchase RDS and take a call based on that.

Quota for RDS

When an RDS account is opted for, each account has its own limitations (as per the region), on the number of resources that can be created. Once the limit for a resource is hit, then additional calls for utilizing the resource will fail with an exception.

There are different resources or parameters with their own limits in RDS. Some of them are instances, cores, memory, disk, disk capacity. This could vary from provider to provider. So, it is best to check for these parameters before you make a select your next RDS provider.

Differences between RDS and other types of Database solutions

Conclusion

In this article we have seen an introduction to Relational Database Service (RDS). Now we know what RDS is, the different reasons for opting to RDS and what it can do for us. We also reviewed the different features and specifications of a typical RDS. Hopefully this gives you enough information to think about opting for a Relational Database Service for your next project.

Basics of Relational Database

As we know by now, a Relational Database is just another place to store data. This data could be of different forms and could relate to different information. For example, in corporate sense, these this data could represent employee information, employee salary information and any other information that the company needs to see, review and take decisions upon. This database can also hold an Inventory of products for an online store and also the orders made for each of the products. This database can also contain customer information when someone tries to purchase the products.

Structure of Relational Database

Relational Database comprises of multiple content holders called “tables“. Each table contains a series of horizontal rows and vertical columns. The columns describe the data that needs to be stored in this table whereas, the rows denote the data that is being entered and stored dynamically. This entire row is called as a record. This row is supposed to contain unique data instance for a corresponding column. Each row in a table has a unique key that can be used to link to rows in other tables.

Rules for design of Relational Databases

• Each table must have a unique name.
• Each table consists of multiple rows.
• Each row in a table should be unique.
• Every table must have a key to uniquely identify the rows.
• Each column in a table must have a unique attribute name, also referred to as the “column name”.

Example of Relational Database

Let’s consider an online store. This store contains inventory. There could be multiple products in the inventory and these products could be of different shapes, sizes, colours, etc. It would be hard and cumbersome to keep a manual track of this data.

To ease up this process of tracking and dealing with all the data, a Relational Database could be used and a new table called “inventory” could be created and details such as the product sizes, colours, etc. could be stored in this. When a customer tries to purchase one (or more) of the products in the inventory, they could look through the specifications of the items provided by means of the User Interface and make a decision. And finally, when the customer purchases any of the items, this information could be stored in another table called “orders”. These orders are now connected with the inventory table. This connection is called as a relationship, as It helped to connect the products with the purchases and this helps in taking sensible business decisions.

Relationships in Relational Database

As we have seen in the example above, multiple tables can be linked to each other and these “relationships” are used to link tables together. These relationships can also be called as “table associations”. Relationships are made using “Keys”.

What is a Key?

In a Relational Database, a key is an identifier that is used to uniquely identify a record. A key can comprise of a single field (column) or multiple fields (columns) grouped together. The keys are essential part in a database as they help in creating associations between tables, building relationships and to maintain consistency in data.

There are multiple types of keys available. They are:

• Primary key
• Composite key
• Foreign key

What is a Primary Key?

A primary key is a field whose value is used to identify any record in a table in a unique way. Usually there is only one field that serves the purpose of the primary key.  There are also cases when this key may contain multiple attributes or multiple fields. For example, in an “orders” table, “orderID” would be the primary key for that table. This means that only this field is used to identify any record in this table.

What is a Composite Key?

There are times when a primary key comprises of multiple fields grouped together. This means that only when these two fields or multiple fields are grouped together they can be used to uniquely identify a record.

What is a Foreign Key?

A foreign key is simply a field whose value is the same as the primary key of another table and this table will contain a different field as a primary key.

For example, let us consider that we have two tables namely “customers” table and “orders“ table. A customer’s table will contain a primary key called “customerID“. The orders table will contain a primary key called “ordersID“. At the same time the orders table will also contain another column or field that goes typically by the name “customerID“ and it will point to the “customerID“ (which is the primary key) in the customers table. So, in the “orders“ table, the “customerID“ column is called as the Foreign key.

So here are some points to remember:

• Primary keys are always unique.
• Foreign keys may contain duplicate values.
• Relationship between different tables is created using keys.

Different types of Relationships/Cardinality in a Relational Database

There are multiple relationships that a Relational Database can use to connect to the data that is present in other tables. These relationships, also referred to as “Cardinality”, are:

• One to One: In this relationship, one table record relates or points to another record in another table.
• One to Many: In this relationship, one table points multiple records in another table.
• Many to One relationship: In this relationship, more than one table record points to another table record.
• Many to Many: In this relationship, more than one table record points to one record in another table.

When to use Relational Database and their benefits

There are multiple scenarios when we can use Relational Databases. Here are few examples:

• When you want to make sure that your data is not compromised.
• When you want to make sure that the data is not repeated that is reduced data redundancy.
• When you are working with large amounts of data.
• To secure the data from others.
• To back up the information that you possess.
• To replicate a new instance of the backup that you already have.
• When you need scalability with data that is being able to add new data without having the need to modify the existing records.

Conclusion

In this article we have covered the basics of a Relational Database and we have seen how it could be useful for your business or any other area that deals with data. Here are some key takeaway points:

• The Relational Database is a very widely used type of database management system.
• The database consists of data holders usually referred to as tables.
• A database can contain a single table or multiple tables.
• These multiple tables could be linked together in some meaningful ways.
• Different types of keys exist to uniquely identify the rows in a table. These keys are called primary key, composite key and foreign keys.
• Primary keys and foreign keys are used to create relationships.
• There could be multiple relationships between different tables. These relationships are: One to One, One to Many, Many to One and One to One.
• All these keys and relationships help in understanding and connecting the data in a better fashion.

Features of an Access Database:

Data Entry Features

An Access database is not quite the same as SQL Server or MySQL database since it is a level record that you transfer to your facilitating server. Numerous Web engineers utilize Microsoft Access databases in conjunction with FrontPage Server Extensions. On the off chance that you need to utilize an Access database with FrontPage expansions, FrontPage will naturally make the greater part of the important envelopes and documents for you.

Information Entry

A natural method for entering information into an Access database is a manual input. A fundamental component of Access that clients decide for this task is the utilities for making tables. Clients click a toolbar catch to make another table, at that point, characterize segment names for the fields in the table. The route sheet of Access is an element that lets clients rapidly snap to choose tables they’ve made and spared. The route sheet likewise enables clients to choose different items, including reports and questions.

Import and Export

A component for bringing in existing information is the arrangement of instruments under the “Outside Data” menu heading. One of these devices is marked “Exceed expectations.” By clicking it, Access clients show a wizard that aides them through the way toward moving information from an Excel spreadsheet to their Access database. A related element is a toolset for sending out Access information to positions different applications can read, including Word, Excel and Web programs. Access’ import and fare devices are imperative to work groups that have information put away in various organizations.

Reports

The Report Wizard is an Access include that makes a report from a chose table or other information source with a solitary snap. Clients click a table in the route sheet, at that point tap the Report Wizard’s symbol in the toolbar to execute the wizard, which prompts clients for parameters for characterizing the report. Clients would then be able to utilize another arrangement of Access highlights for tweaking the look and usefulness of the report. Without reports, the manners by which Access clients could see their information would be constrained.

Inquiries

The inquiry lattice is an element of Access that gives clients a chance to get information from tables they’ve made. Access shows arrangements of tables from which clients can pick a table to inquiry with the framework. Clients compose names of the table’s sections into the matrix. They likewise type in the matrix the criteria that information must meet for Access to incorporate it in the question comes about.

SQL Window

The SQL window is an element of Access that offers another option to the inquiry lattice. Clients acquainted with SQL language structure can enter their announcements in this window, at that point run the announcements by tapping the “Run” catch on the toolbar.

Query Wizard

The Query Wizard is another element for bringing information. At the point when a client taps the catch for this component, Access makes SQL proclamations because of client contribution to the Wizard’s screens. Access clients depend on this apparatus and the inquiry matrix for recovering their put away information.

Conclusion

This was a gentle introduction to Access database and some of the features it contains. If you would like to use it for your own data storage purposes, you can have it on a Windows hosting account. Your web hosting provider should be able to provide you with the Access database feature. Typically, you will have couple of choices to start using Access database. First, you can avoid using FrontPage and start using the Access database directly. Second, you can enable FrontPage Server extensions.

Relational Database Management System

The most widely used type of DBMS is the relational database management system.  It has a tabular structure, arranged in rows and columns, connecting similar forms of data together for more accurate and consistent transactional data. Relational database management system makes database maintenance and querying easier and faster due to the fact that it reduces the repetition of data stored in multiple tables.

Structured Query Language is used for the manipulation of data stored in this form.  A database server monitoring tool can then be used to monitor all the information in the SQL server. Various database monitoring tools exist, picking the right one will depend on the kind of event you want to monitor.

How Database affects Businesses Customer Relationship

If your business is expanding, spreadsheets might no longer be able to help you with all your database needs. You will need to identify the relevant database software applications that can foster business organization and growth.

For example, there is a customer database management system to help businesses track their customers’ feedback and keep in tune with customers’ needs. The Customer Relationship Management (CRM) software gathers all customer information into a single database so that every aspect of the business can easily access and make use of it. Over the years, this has helped organizations interact with their customers better, seeing that customer focus is a necessity for every business that plans to be around for a long time.

CRM is capable of automating business functions that are repetitive and for distributing emails and alerts automatically to customers. Microsoft, SAP, Oracle, and Salesforce remain the major vendors of the CRM software. Apart from on-premises CRM software that is on the company’s server, cloud-based system is also available for members of the organization to access it from wherever they are. However ample data security in form of cybersecurity has to be applied to ensure that these important data remains safe and exclusive to only the organization.

Advantages of using a Relational Database Management System

Relational database management system might be the easiest form of database management to access, especially in business. This is due to the fact that data is stored based on a relational model, so it is easily understood. Also, multiple users can access and work on the stored data at the same time, very useful for large organizations.

SQL that is supported by RDMS is simple and very easy to learn, this is also a major plus as querying your data doesn’t have to be so tedious. Relational database management systems might not be the fastest in terms of performance speed when compared to its counterparts like an object-oriented database, network database etc. but, it has its benefits and unique ways of optimizing the organizational database.

Conclusion

Keeping a standard relevant database is essential for businesses to be able to monitor and track the happenings in their organization. To know how much inventory is available in the warehouse, a retail business would need an inventory tracking database. Databases can also be used to monitor employee information and keep track of their performances and benefits. Again, keeping a database can help with analysing and predicting data to forecast market trends. Quite frankly, the importance of relational database management system in an organization is numerous and cuts across all aspects of the business.

What is Data Modeling?

Data Modeling is the process of defining and analyzing the data requirements of the business. It solves the purpose of outlining of the structure of the new software and the data flow between the different elements that make up the structure. Generally, the Data Modeling is done during the analysis and design phases of a project to make sure that the requirements of the application are understood correctly with the scope of correction, should there be any errors.

How is Data Modeling done?

Data Modeling is generally achieved by making use of diagrams, symbols, and text to represent the flow of data. These set of diagrams, symbols, text, etc. convey the direction in which the data flows and how the data is interlinked within the application.

Benefits of Data Modeling:

• Data Modeling helps visualize the flow of data and the connection across different pieces of data, across the application. This allows the owners of the application (typically called stakeholders) to actually identify problematic data correlation, functional errors and they can have these issues fixed before any actual programming code is written. This helps make new crucial decisions effectively and make amendments to the existing ones without costing a financial burden on the application owners.
• It helps identify data flow across the application, the link between the various processes, entities and their corresponding relationships.

Levels of Data Modeling:

There are three levels of Data Modeling, namely:

• Conceptual Data Model or  Conceptual Database Design
• Logical Data Model or  Logical Database Design
• Physical Data Model or  Physical Database Design

Conceptual data model gives us the high-level overview of the application by providing us the different entities in our data and the relation between them.

Logical data model gives us the basic details of the data without caring too much about exact types of data to be used.

Physical data model gives us the exact implementation of the type of data to be used.

The Conceptual data model is the simplest of all and the complexity increases through the Physical data model. In some cases, the Conceptual data model and Logical data model is combined and treated as a single data model. So in those instances, you may find only Logical data model and Physical data model.

Conclusion

So generally, a database design has three parts. Designing these three parts is what is called as Data Modeling and those individual parts are called as Data Models. These three data models are  Conceptual Data Model or  Conceptual Database Design, Logical Data Model or  Logical Database Design, Physical Data Model or  Physical Database Design. In our next articles, we will see what these individual data models are in great length.

Database Management System (DBMS)

A Database Management System (DBMS) plays the role of providing a user with the capability to interact with the data as needed, by acting as an intermediary interface. When it comes to interacting with a database, there are essentially four core basic ways of interacting with the data, best represented with the acronym CRUD where:

• C stands for Create
• R stands for Read
• U stands for Update
• D stands for Delete

So in other words, a DBMS provides ways for software developers and system users to easily Create, Read, Update and Delete data from a database. This helps ensure that the data is easily accessible.and is organized consistently in a database.

Technical elements of a DBMS:

In the earlier paragraph, we have seen how a DBMS helps a user. Now, let us take a quick look at how it achieves this technically.  A DBMS is responsible for managing three vital elements. They are the:

• Database engine
• Database schema
• Data

The Database engine helps in accessing data, modifying data and locking up the data while modification to ensure data integrity.

Database schema provides the logical structure of the database.

Data is the actual data that is being stored in the database.

Apart from the main tasks as mentioned above, as data can be accessed by multiple users from multiple locations at the same time, a DBMS streamlines the data view in systematic and organized manner while maintaining the integrity of the data.

DMBS can also help in performing other administrative tasks such as database backup and recovery, performance tuning and monitoring, data rollbacks in an event existing data is compromised, activity logging and much more.

A DBMS also helps make the data available only to specific authorized users and hides it from unauthorized users. It does this by providing us with Application Programming Interface (API) for the database.  This makes it practically feasible for software developers to focus on developing the software rather than worrying about how the data is stored and managed internally.

Relational Database Management System (RDBMS)

Relational Database Management Systems (RDBMS) were introduced because navigational databases could not be “searched” for data. It included the integration of the navigational model, along with a tabular and hierarchical model. It takes much experience and time to build an RDBMS because of their structure, but they are also more secure. They also impose certain restrictions that may not allow you to manipulate data in a way that compromises the system integrity. It achieves this target by implementing an API called SQL. SQL is a standard programming language for defining, protecting and accessing data in an RDBMS.

Differences between DBMS and RDBMS

Conslusion

From our discussion above, we have just seen what Database Management System (DBMS) and Relational Database Management System (RDBMS) are at their core and the differences between them. Moving forward, we will be exploring more on the basis of using MySQL as a RDBMS solution.

What are the different types of databases?

Here are the most common types of databases:

• Flat File
• Hierarchical database
• Network database
• Relational database

Flat File:

In Flat file types of databases, the data is stored in “Files”. These are the actual files, for example, excel sheet. The main problem with flat files is that only one user may access the flat file at any point of time. The data is not linked and there is a huge risk of data repetition across the file.

Hierarchical database:

In short, Hierarchical databases are a series of databases that are mapped together. There is a parent database and all the other databases originate from this parent database and the communication between the parent and child databases takes place from parent to child only i.e. in just one way and not from child to parent.

Network database:

Network database solves the problem of lack of communication from child databases to the parent database. The main problem with this approach is the huge amount of time and network latency involved in the communication problem over the network.

Relational database:

Relational databases are by far the most popular database in the market today. They solve the problems posed by the earlier types of databases and also accomplish much more in the process. Relational databases use a language called Structured Query Language or SQL for short in order to communicate with the database.

Here are the examples of relational databases. You may have already heard of some of them, if not all:

• PostgreSQL
• MySQL
• SQLite
• Oracle
• NoSQL

PostgresSQL is an open source relational database management system.

MySQL is the most popular and widely used relational database management system. Moving further, all our discussion would be on MySQL.

SQLite is the lite version or the subset version of MySQL. It contains the minimal features when compared to MySQL. It is not intended to be a replacement for MySQL as it achieves only a portion of what MySQL can do for you.

Oracle databases are relational from Oracle that are available commercially.

NoSQL databases do not store data in rows and columns, just like the other databases. Rather they store the data in huge chunks or documents. Their concept is different from MySQL, so discussing NoSQL is out of the scope of this article.

Conclusion

From all the types of available databases, we find the MySQL relational database to be widely available, immensely popular and freely available database. It solves many problems that other previous databases posed and moving forward, our focus would be on discussing MySQL relational databases.