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HTML Elements | HTML Tags | Learn HTML | Nesting

HTML Elements  :- An  HTML element  consists of a  start tag   and  end tag , with the  content  fill in between:           Start Tag       ...

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Tuesday 20 February 2018

HTML Elements | HTML Tags | Learn HTML | Nesting

- 1 comment

HTML Elements :-


An HTML element consists of a start tag and end tag, with the content fill in between:
        


 Start Tag

                  Content

 End Tag

 <p>

           This is paragraph.

 </p>

 <h1>

            This is heading.

 </h1>

 <div>

            This is division.

 </div>


HTML elements with no content are called empty elements.

Empty elements do not have an end tag, such as the <br> element which represents a line break, <hr> element which represents a horizontal rule.

Empty elements are also known as void elements.

Difference between HTML Tag and HTML elements :-


HTML elements consist of a starting tag.

If the HTML element will hold sub content within it then it will end up with an ending tag.

For example
, <h1> is starting tag of a heading and </h1> is closing tag of the same heading but <h1> This is a heading </h1> is a heading element.

Nested HTML Elements :-

HTML Elements can be nested, we can write an element, before closing that element, we can start as well as finish another element within that outer element.
Example:

<!DOCTYPE html>
<html>
<head>
    

    <title>This is a example for Nested HTML Elements </title>
</head>
<body>
    <p>This is a <u>underlined</u> paragraph.</p>
</body>
</html>
This HTML document produces following output :       


Explanation of above example -

Here, <html> element defines the whole document. It has a start tag <html> and an end tag </html>. Here is also a <u>...</u> (underline) tag which is used to make a text underlined. Paragraph tag is a outer element and underline tag is an inner element which can be called as nesting of elements.

Heading Elements :-


Any HTML document starts with a heading. A HTML h tag can be defined as a title or a subtitle. In HTML, we can use different sizes for headings. HTML has six different heading tags which are defined as <h1>, <h2>, <h3>, <h4>, <h5>, and <h6>. Size of the text depends on the number of heading. h1 is the largest heading tag and h6 is the smallest one. 

Example
<!DOCTYPE html>
<html>
<head>
      <title> Heading Example </title>
</head>
 <body>
      <h1>This is heading 1</h1>
      <h2>This is heading 2</h2>
<h3>This is heading 3</h3>
 <h4>This is heading 4</h4>
  <h5>This is heading 5</h5> 
  <h6>This is heading 6</h6>
</body>
</html>

This HTML document produces following output :   
    

Tuesday 19 December 2017

Important Factors of RDBMS

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Introduction to RDBMS:-

  • RDBMS stands for Relational Database Management System.
  • RDBMS is based on Relational Model.
   RDBMS can be defined as Database Management System (DBMS) where all data visible to the user is organized strictly as tables.
  • Examples of RDBMS: SQL, Sybase, Oracle, Microsoft SQL Server, Ingress, DB2, MySQL, PostgreSQL.
RDBMS vs DBMS

Why RDBMS is better than DBMS ?


The main differences between DBMS and RDBMS are given below:


S.NO.DBMSRDBMS
1DBMS stands for Database Management System.RDBMS stands for Relational Database Management System.
2DBMS offers an organized way of storing, managing and retrieving information.RDBMS provides all features of DBMS with an added referential integrity concept.
3In DBMS, data is stored as a file.In RDBMS, data are stored in a tabular form.
4In DBMS, there is no relationship concept.RDBMS is used to build up the relationship concept between two database objects, i.e., tables
5In DBMS, Normalization is not available.In RDBMS, Normalization is available.
6DBMS supports single user only.RDBMS supports multiple users.
7DBMS treats data as files internally.RDBMS treats data as tables internally.
8In DBMS, there is no security of data.In RDBMS, there are multiple levels of security, at logging level, at the command level, at the object level.
9DBMS does not support client-server architecture.RDBMS support client-server architecture.
10DBMS does not support distributed architecture.RDBMS support distributed architecture.
11DBMS supports 3 rules of E.F.CODD out of 12 rules.RDBMS supports minimum 6 rules of E.F.CODD out of 12 rules.
12In DBMS, ACID (Atomicity, Consistency, Isolation, and Durability) properties of the database must be implemented by the user or the developer.In RDBMS, ACID (Atomicity, Consistency, Isolation, and Durability) properties of the database are defined in the integrity constraints.
13DBMS does not impose integrity constraints.RDBMS impose the integrity constraints.
14DBMS has to provide some uniform methods to access the stored information.RDBMS system supports a tabular structure of the data and a relationship between them to access the stored information.
15DBMS requires low software and hardware requirements.RDBMS requires high software and hardware requirements.
16Examples of DBMS: file systemsXML, etc.Example of RDBMS: MySQLPostgresSQL ServerOracle, etc.
Now, you can say that RDBMS is most secure and useful than DBMS.


Thursday 30 November 2017

Top 15 differences between DBMS and RDBMS | Easy SQL

- 1 comment

Difference between DBMS (Database Management System) and RDBMS (Relational Database Management System):-


DBMS and RDBMS both are used to store information in the physical database but there are some notable differences between them.

onlinetutorialhub, DBMS, RDBMS, SQL


DBMS vs RDBMS:-

The main differences between DBMS and RDBMS are given below:

S.NO. DBMSRDBMS
1DBMS stands for Database Management System.RDBMS stands for Relational Database Management System.
2DBMS offers an organized way of storing, managing and retrieving information.RDBMS provides all features of DBMS with an added referential integrity concept.
3In DBMS, data is stored as a file.In RDBMS, data are stored in a tabular form.
4In DBMS, there is no relationship concept.RDBMS is used to build up the relationship concept between two database objects, i.e., tables
5In DBMS, Normalization is not available.In RDBMS, Normalization is available.
6DBMS supports single user only.RDBMS supports multiple users.
7DBMS treats data as files internally.RDBMS treats data as tables internally.
8In DBMS, there is no security of data.In RDBMS, there are multiple levels of security, at logging level, at the command level, at the object level.
9DBMS does not support client-server architecture.RDBMS support client-server architecture.
10DBMS does not support distributed architecture.RDBMS support distributed architecture.
11DBMS supports 3 rules of E.F.CODD out of 12 rules.RDBMS supports minimum 6 rules of E.F.CODD out of 12 rules.
12In DBMS, ACID (Atomicity, Consistency, Isolation, and Durability) properties of the database must be implemented by the user or the developer.In RDBMS, ACID (Atomicity, Consistency, Isolation, and Durability) properties of the database are defined in the integrity constraints.
13DBMS does not impose integrity constraints.RDBMS impose the integrity constraints.
14DBMS has to provide some uniform methods to access the stored information.RDBMS system supports a tabular structure of the data and a relationship between them toaccess the stored information.
15DBMS requires low software and hardware requirements.RDBMS requires high software and hardware requirements.
16Examples of DBMS: file systemsXML, etc.Example of RDBMS: MySQLpostgresSQL ServerOracle, etc.

Now, you can say that RDBMS is most secure and useful than DBMS.


Tags:- Difference b/w DBMS vs RDBMS, DBMS vs RDBMS, RDBMS vs DBMS, RDBMS, DBMS


Monday 27 November 2017

What is BigData | BigData | BigData Hadoop

- 4 comments


What is BigData?


BigData is nothing, a huge amount of data which is coming from different sources like Social networking sites, E-commerce site,  Weather Station,  Telecom company and Share Market etc.
At the same time, BigData cannot be stored in any traditional system like Access, SQL & Oracle etc. BigData is being generated with such a high speed that's why BigData is a problem for traditional systems as these are not able to store & process BigData due to some limitations.

IBM suggested five V's to identify and understand the BigData if any data having characteristics of 5 V's then we can say this is BigData :  
1. Volume: The size of the data.
2. Variety: Processing different types of data.
3. Velocity: The speed at which data is generated.
4. Value: Finding correct meaning out of the data.
5. Veracity: The trustworthiness of the data in terms of accuracy.


The data will be of three types.
  • Structured data: Relational data.
  • Semi-Structured data: XML data.
  • Unstructured data: Word, PDF, Text, Media Logs. 

BigData Sources -


There may be many reasons behind the growth of Bigdata, but the main reason is the continuous enhancement of technologyIf you go back in time like in the 70s or 80s only a few people were using computers. But now everyone owns a gadget, everyone has a mobile phone, everyone owns a laptop and they are generating data every day. Now you can also think of Internet of Things (IoT) as a factor.
Nowadays we're dealing with interconnected smart devices and smart appliances; they form a network of things which is nothing but the Internet of things. So these smart appliances are also generating data and one major factor behind the rise of BigData that comes to my mind is Social media.

Let's understand Bigdata with the help of some examples : 

Social Media :

We have billions of people on social media because of we human, we are social animals and we love to interact, we love to share our thoughts, feelings, and social media website provides us the platform that we need, and we have been using it extensively every day.

So if you look at the stats, you can see :

  •  In Facebook, the user generates almost 4 million likes in every 60 seconds.
  • On Twitter, there are almost 300 thousand tweets in every 60 seconds.
  • On Reddit, there are 18000 user cast votes in every 60 seconds
  • On Instagram more than 1 million likes in every 60 seconds
  • On YouTube, there are almost 300 hours of new videos uploaded in every 60 seconds.
Now, this is data for every 60 seconds. You can imagine the kind of data that we are dealing with every day and how much data we have collected throughout the years. Since the Social Media website has started now so a lot of data has been rising over years. 

Cisco :

Cisco is one of the biggest networking companies and they track the data traffic.
In 2015, if you see that Cisco was dealing with only 3.7 Exabyte’s ( 1 Exabyte = 10^18 bytes) and now in just 5 years it's going up to 30.6 Exabytes. Now, it can be more in the coming years because the data has been growing faster and we are dealing with a lot of data.

Cisco also mentioned the three major reasons behind the growth of the data :


1. The first one is the adoption of Smarter Mobile Devices than basic mobiles like Nokia 1100 which can be used only for calls and text messages. Nowadays everyone is using Smartphones and different apps on these Phones, each app generates a lot of data.

2. The next reason they mentioned is Cell Network, we have 2G, 3G, and 4G and now we're looking forward to 5G. Now we are advancing the Cellular Network Technology and it provided us feasible communication even faster and in a better way. Also, This gave us chance to share things that have become very easy for us to send a message or send videos to our loved ones in few seconds only.

3. The next reason as per Cisco is Reviewing Tiered Pricing. The network companies are also providing a lot of data plan that anyone can use. Unlimited data plans, share plans which are very reasonable for us that's why we have been using it extensively.

Almost everyone in the world uses a mobile phone now, stats also say that we have 217 new users in every 60 seconds.  So you can say that we are dealing with a lot of data and that is why name comes as BigData.