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| MEMBERS: | Small Business Web Site Development, Design & Hosting
Anybody who wants to start a business looks for minimum investment & maximum returns, especially small businesses where capital is low. The cheapest mode of marketing your business & letting people know about your products/services is internet. That's the reason why lots & lots of small business enterprises are now looking for internet marketing as a new potential area of business. Of course, to promote your business online, you need to have a powerful website. A website is a virtual portal containing information about your company, products & services. You can either setup an online store & sell products thereon, or you can simply provide your contact information on your website, so that people can contact you for your services. In either case, it is very important that you design an attractive website so that users get drawn to it. Attractive does not mean loads of graphics & colors. But it means a site that has balance of all. A good website has a decent layout, great information & is easily accessible. Too much graphics, flash & other such factors delay the downloading of the site, which can be frustrating to user. It also means it is difficult to promote it through search engines freely. The best solution is to approach a professional company & make your goal clearer to them. For a little investment, you can get a great website ready to market. A properly designed website goes a long way to determine your online business. If you can increase your customer base online, you can then think of creating your brand offline as well. Once people start visiting your website & you offer them services/products online, you can built a base to your business wherein you can expand it offline as well. Lot of companies provide complete package for small business website development, design & hosting. These services also extend to online promotion of your site like search engine optimization services. So, in short, you can hire a company that can manage your entire online business. While choosing a company, you can either be specific about how you want your website designed, developed or hosted; or you can just provide them with your business idea. Of course, you should be prepared to offer your services/products once customers start pouring in. So, if you are planning to start a small business then developing a website is the first step you should take.
Web Site Content Management Systems And Its Importance
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.
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:
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.
Efficient SQL Databases
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.
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