Page titles

To help obtain high page rankings with search engines, the contents of your page title are one of the most important things that need to be dealt with. The page title is the first amount of information provided to a search engine describing the contents of the page. You should also be aware that the page title provides information about the contents not only to search engines, but to visitors as well. The page title will show up at the top of the browser window. Your page title should include your keywords and should be no longer than 60 characters long. If it is too long, your visitor will only see the first part. An easy way to figure out the length of a page title is to type it into a word processor that contains a word count feature. Since your page title needs to be a certain length, it is important to make the best use of the space, and although some words that are not key, will use up that valuable space, the title itself still needs to make sense. A keyword in your title can be repeated, but having the same words more than two times is not recommended. Compare your page title to others and see what makes their content look appealing enough to catch a potential visitor's eyes. Your page title needs to stand out between the other nine titles on the search engine results page. As you design your site, remember the fact that visitors may be directed to somewhere other than the homepage because the search engine believes it is the best match for a keyword. With this in mind, all pages of your website should be considered unique and have their own title.

Meta tags

For your site to be effective, you need to develop Meta tags. These tags are a site description and a keyword list. It is important to note that not all search engines use these Meta tags. Starting with your home page, you will need to insert two Meta tags. The first is a Meta description sentence and the second is a Meta keyword list. The information you put here is for search engines to use when they review your site. This review process is known as crawling and is done with a program called a spider or robot. The description tag serves two purposes. The spiders search it for keywords and it is also displayed to a surfer as they view search engine results. The information obtained by the spiders is kept in a database that is used when a person types in a query to a search engine. When you create your Meta keyword list, order them from the most relevant to the least. The first part of your list should contain the keywords that best describe your site and are unique enough that when someone does a search, there is not a large amount of competition to go up against. Make sure that all the keywords used in the description tags are again listed. The words at the end of your list are known as wildcards and include synonyms and words that could have been spelled wrong when someone was doing a search. During your Meta tag creation process, do not be afraid to go to other people's websites and see what they have used. Type in the same words you would like to include in your lists and see what the search engines display. This is a very good way to help determine your competition.

The thing about computer languages is that there is some weird heaviness on the actual work involved. People are scared of by codes and although they see the power, they just can't seem to get going because they have no idea where to start.

That is where training comes in. And of course, fun training. You need to be taken by hand and shown exactly what you need to do, where you need to do it, and when you need to take the right action.

The funny thing about CSS is that it allows you to create your website in the fraction of the time when you would do it using tables. It's hard to believe, but still after all these years of promotion for CSS people (and companies!) still heavily rely on tables for layout. They have no idea that they are simply wasting time on old techniques that will be useless in a matter of time.

So where do you need to pay attention on when you are looking for a CSS Guide?

1. The Teacher

The number one thing you need to be sure of is that your teacher knows where he or she is talking about. Why is he or she teaching about Cascading Stylesheet, because they need to from their boss? Because they think they can teach, no matter the subject?

Think of that, how many teachers are only "teaching" stuff, and never practice it their own? Ask yourself "why" are you teaching you me this. Are you the best in the field? Where did you get your knowledge from?

2. Teaching Style

So the teacher may be a great person, has all the required skills, has a passion for the subject and knows about everything of it. But can your teacher deliver? Does he or she KNOW how to explain things? How to take you by hand and show you step-by-step how things work?

Is it fun to follow along with the teacher? CSS is one of those topics that can become boring easily when it's only discussed in a technical way. Make sure you know what you can expect!

An even more important thing is cutting right to the case. You don't want to end up with all kind of knowledge that you will never use in practice. It simply isn't useful to learn every possible css style there is when you just get started. And this brings us to the third point you need to pay attention on when you are looking for a css guide.

3. Teaching / learning speed

Can you keep up with the course? Does your teacher decide the speed, or do you? Of course a great way to follow a course is one that allows you to define your own speed. Home study courses and guides are wonderful for that.

4. Delivery

How is your guide delivered? Are you somebody that likes to read, follow along with a training video or both? Decide what you like, training videos are great, because they allow you to follow along in a real life situation. This means hands on practice, which is exactly what you need if you want to become good in CSS.

5. Contents

Last but not least, content. What is discussed in the guide? What is marked as important? Do you get a total reference, or do you know you don't need that, that the real thing you need is a hands on course with day-to-day subjects? Decide what you want to know, just the basics, how to create full layouts, or just how to create a menu using 100% CSS.

It's up to you now, decide what you need, you know how important the 5 above points are, and where you need to pay attention on. And one last tip, make sure you get some preview videos or sample chapter before following any course, it can save you a lot of time and money at the same time.

Hilco van der Meer
CSS Expert

Don't be fooled by seeming simplicity. A lot of developers get comfortable with a certain way of designing a database for their web applications that they miss out on techniques they should rather employ to make things run faster and more efficiently. A lot of developers don't bear in mnd that the small site they are creating now might grow into something incredibly large and complex, and the database they designed has become bloated and doesn't scale well to meet the demands of the increased traffic.

This article hopes to provide web developers with a few techniques to help make their database and queries faster and more efficient.

1. Avoid Character Types

When you are designing a database, it is so easy to set all data types to the VARCHAR type as it can then contain any data you want; numbers or text. But character data is amongst the most inefficient data type you can get. If a field is only going to contain numbers, then make it one of the appropriate types (INT, DOUBLE, etc).

Also, wherever possible in your web development code, try to use numeric data types as opposed to characters. One of the most common things a script has to store are flags like whether someone answered yes or no to a question, etc. You could of course store it as 'Y' or 'N' but why not store it as 0 and 1?

The reason this makes a difference is when you have a database, for example, with over 500 000 entries, and are running a SELECT on that field, comparisons are processed a lot faster for numeric data types than character types. Also, if you need to return data to the calling script, numeric data is less memory intensive than character data. In addition, your web development language (PHP, ASP, etc) would also be able to process and perform functions on numeric data better than character data.

I am not trying to convince you never to use character data types. Sometimes it is a necessity, but if you can find ways to reduce the amount of character data processed by your SQL database, the better your server will cope.

2. Normalization

Normalizing a database is really quite a complex process. It is a process that describes a way to design a database structure to avoid repetition of data in your database and can lead to significant performance benefits if employed correctly. However, the entire process of normalisation is a bit beyond the scope of this article as it can fill books on its own, but any developer designing a database should seriously consider becoming knowledgable about normalisation and employing it in their own designs.

For a good tutorial on this process: http://www.keithjbrown.co.uk/vworks/mysql/mysql_p7.php

3. DateTime vs Timestamp fields

This actually relates to 1. a bit. The big difference to bear in mind here is that a field of type DATETIME is actually stored as a series of characters. A field of type TIMESTAMP is actually stored as an integer. So therefore, a more efficient way of storing dates is using the timestamp method. The timestamp has its drawbacks however. For one, you cannot store a date early than 1 January, 1970. Also, timestamps in your script will need recalculating to get to the character format. Because of this recalculation, it may not be better to store as timestamp. It really is a case of testing which format works better for your needs.

4. Use LIMIT where possible

In your queries, if you are doing a SELECT to a database and you only expect a certain number of results, using the LIMIT statement can speed your query up incredibly.

For example, if you have a table of users and you need to run a query to search for one users record, you can use a query like:

SELECT user_name FROM users WHERE user_id = 453;

This query is perfectly valid and will return the right result. But you also know there will only be ONE result. The query above will search the database, find what you want, but then still continue searching after that. It would run a lot faster if you could tell the query that once it has found what you are looking for to stop searching. LIMIT can do this, as this query shows:

SELECT user_name FROM users WHERE user_id = 453 LIMIT 1;

Imagine this scenario. You have a table called logins, that records every login from a user. It currently contains over 2 000 000 records, and you want to find the first time a user logged in. Now bear in mind that because this table inserts data over time, it is already sorted for by date. You could do the following query:

SELECT MIN(login_date) FROM logins WHERE user_id = 4876;

This will return the record you want, but SQL will now have to get all dates for that user, sort them and then return the lowest value to you. Our table is already date sorted simply because of the way it records data for us. So using LIMIT can be more effective:

SELECT login_date FROM logins WHERE user_id = 4876 LIMIT 1;

Because it is sorted, the first one will always be a users first login.

5. Avoid using LIKE

If you have tried to employ 1. above, then hopefully you will be in a scenario where you do not need to use LIKE all that much. LIKE is one of the most inefficient ways of searching a table. LIKE performs a text comparison search in a field and with no wildcards is as efficient as a direct comparison; i.e. WHERE name = 'Jane' is equivalent to WHERE name LIKE 'Jane'. It is when you start introducing the wildcard characters like '%' that things get really hairy.

If you do have to use LIKE, then at least try and make efficient use of the wildcards. These are '_' (underscore) and '%'. Let me explain all this with a real world example.

In a project I was involved in, we had a SQL database storing logs generated automatically from a mail server. Unfortunately, the mail server pretty much just dumped a very long string of text data into a field that contained the data we wanted. A script had to be written to find all logs that referred to a login by a user into the POP server. The only way we could do this was to search every record for a string in the msg field that had the text "User logged in" in it. The first query developed was something like this:

SELECT msg FROM logs WHERE msg LIKE '%User logged in%';

This query took on average of about 35 minutes to process. Obviously not an ideal situation. The way the LIKE worked here was that it had to parse through every single portion of each and every record in the msg field looking for text that matched "User logged in" anywhere in the text. We were able to determine eventually that the text "User logged in" occured at the end of that text in the msg field and so we altered the query:

SELECT msg FROM logs WHERE msg LIKE '%User logged in';

The '%' at the end was removed as we do not want to worry about text after because there is none. The query now only compares text to our string in the msg field at the end of the field and no longer parses through the entire piece of text stored in msg. The query now ran in under 2 minutes. (This was actually still too long, but how we optimised from there is a little beyond the scope of this article.)

Hopefully with all these elements put into practice on your next web development project, you can have a database that runs quickly, efficiently, uses as little resources as possible and wont grind to a halt when the load suddenly increases.