Content is a vital component of any website or any marketing/advertising tool, for that matter. However, this was realized only lately that it is important to have good content on the website. Earlier, having a website meant designing visually creative pages. Importance of content was always ignored and it was just thought of as placing some text in between various pieces of graphics. However, with the advent of search engines, importance of content gained prominence. The advantages of having good content finally started receiving its long due significance. With the importance of content growing for websites, the need for web site content management systems has also increased.

There are various factors that bring the importance of web site content management under prime consideration.

• Putting relevant quality content on the website will clearly define the objective of the website and convey the business/company/product profile.
• A website with good content will have visitors spending more time on it and returning to the site often.
• Having properly structured niche content will increase the website's credibility and may help in converting a visitor into a potential customer.
• Content with adequate number of keywords will make the website search engine optimized, thus improving its visibility on search engine results.
• Other websites will want to link to quality content rich website. This will increase the number of referral visitors to the website and also its exposure to search engines thereby increasing the overall popularity of the website.

Having understood the importance of content, it is also essential to know the web site content management process. There are various ways of getting good content. You can write the required content yourself and get it tweaked from a professional editor or you can directly hire a professional content writer. However, before doing the above steps of directly writing the content or getting it written, the objectives for having a proper content should be clearly defined. This could include making decisions about:

• Target audience with relevant demographics, if applicable.
• Length of the content and its structure.
• Specific words that need to be used and number of times they should occur in the entire content.
• Distribution of the content over the website.
• Frequency of updating the content.
• Use of appropriate web site content management system.

A website with tidy, crisp, and persuasive content will definitely have lot of visitors hitting the site regularly. No matter how multimedia rich and flashy your website is, rich content is now a mandatory requirement for the survival of your website.

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.

Website development is not magic, and it's not as difficult as some people would like you to believe. The many companies involved in SEO or Search Engine Optimization are correct in stating your site must be "optimized" for the search engines in order to get higher search engine rankings. What they would like you to believe is this is all very technical and sophisticated, and therefore it justifies the prices they charge for their services.

What is in fact highly technical, sophisticated and developed by absolute geniuses, are the search engine algorithms used to rank sites as the "bots" crawl the millions of sites and bring back information. But you need to understand one thing clearly. The search engines are ultimately looking for only one result - fresh content that will be exactly what people like you and I want when we do a search.

When I made my first attempts at website building, I researched everything I could about website development and how to get my website ranked in the top 10 and then using all the technical tricks and tools to make the search engines happy and rank my site high. You can guess what happened...nothing!

The only way you could find my site was for me to actually tell you my URL. Needless to say, I had very little traffic. Then it hit me, why am I trying to outsmart the brilliant people at the search engines who continue to update their search technology on a daily basis? I realized there has to be a better website development method, and went looking. Face it, with out the search engines ranking your site highly; all your work will be for nothing, because your site will be invisible!

I was very lucky to find a company name Site Build It. I signed up with them for $300, and it was the best investment I have made yet in my online adventures. The folks at SiteSell are always on the cutting edge of everything e-business. They've helped tens of thousands of people launch successful Web businesses with SBI!.

I went through their 10 day course and read every page and watched every video. They quickly pointed out the basic misconceptions people have about website development and building sites that are ranked highly by search engines and how to avoid them. What they made clear to me can be summed up in one phrase used often in their course..."content is king!"

You start your website development with a concept or theme, a subject you are passionate about, a subject you believe you can make into a business. Then you do keyword research about your subject to find out how much search activity there is about your subject on the search engines. You also look at what keywords have the highest search demand versus websites supplying that information, and the resulting gap or surplus. When you find gaps, this means there is demand for information about those keywords, and an opportunity for your concept.

Then you build content rich pages around those keywords, and guess what. That is exactly what the search engine algorithms and "bots" are looking for...CONTENT! But you must never forget the most important part of equation will be the humans that will be reading your pages, so as they say in the training - Keep it real! You must write as your having a conversation with someone sitting in front of you.

If website development is magic, then the magic boils down to three key principles.

• Your website must have a theme that you are knowledgeable and passionate about.

• You must understand you will never outsmart the search engines, and the search engines rankings are based on good content around a specific theme and keywords.

• You must keep your human readers in mind as your first priority and develop your content for them.

Keep these basic principles in site at all times and then, and only then, you will get the results you want -- traffic and increased sales!