Access the help system available from Knowledify SQL. Go through the orientation to start learning the basis. Start with basic statements. Step up with advanced search criteria. To filter your data. Fine tune your search queries using wildcard. Operators in your projections. Functions over a result set. Group 'em all. The result-set by one or more columns. Values as well as NULL. Check out Google Play.
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Explore Knowledify | content.knowledify.com Reviews
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Access the help system available from Knowledify SQL. Go through the orientation to start learning the basis. Start with basic statements. Step up with advanced search criteria. To filter your data. Fine tune your search queries using wildcard. Operators in your projections. Functions over a result set. Group 'em all. The result-set by one or more columns. Values as well as NULL. Check out Google Play.
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Prime Conditions | Explore Knowledify
http://www.content.knowledify.com/deck/8
The Marketing department has come back to you regarding your initial data selection job. They are happy by your work and would like to perform additional customer segmentation before their next campaign. You will still be using the customer. Table It would the perfect occasion to demonstrate your skills with most complex search conditions such as BETWEEN. Group 'em all. Check out Google Play.
Getting Wilder | Explore Knowledify
http://www.content.knowledify.com/deck/14
Demands from the Marketing department regarding their customer base is getting more intense and specific. This time, they have demands regarding the patterns in customers' names and addresses. You will still be working exclusively with the customer. Table This assignment will be the perfect opportunity to practice with the LIKE. Operator along wildcard expressions. Group 'em all. Check out Google Play.
Suming bits | Explore Knowledify
http://www.content.knowledify.com/deck/62
As the number of songs being provided to the customer is increasing, the provisioning department needs more reporting to be done. As you have done a terrific work with them before, they have naturally turned to you. This assignment will cover the basic aggregate. Operators such as COUNT. You will be working again on the track. Group 'em all. Check out Google Play.
Distinct | Explore Knowledify
http://www.content.knowledify.com/help/distinct
Keyword allows us to grab all information from a column (or columns) on a table. This, of course, necessarily means that there will be redundancies. What if we only want to select each DISTINCT element? This is easy to accomplish in SQL. All we need to do is to add DISTINCT after SELECT. The syntax is as follows:. SELECT DISTINCT "column name" FROM "table name";. For example, to select all distinct stores in table stores. SELECT DISTINCT name FROM store. Group By and Distinct. A DISTINCT and GROUP BY.
Project into | Explore Knowledify
http://www.content.knowledify.com/deck/93
You have now moved to another service of Essential Stream: the provisioning service. Their activities consist in maintaining a portfolio of songs available for customers to buy. You will start working on the Track. Table This table contains the name of the song, its price, as well as its length in milliseconds. And its size in bytes. This assignment will be the opportunity to work on aliasing. Note that all the numbers are stored as floats. Group 'em all. Check out Google Play.
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Order By | Knowledify
http://www.knowledify.com/sql/order-by
Skip to main content. Pattern Matching: Like Operator. The ORDER BY keyword is used to sort the result-set by one or more columns. The ORDER BY keyword sorts the records in ascending order by default. To sort the records in a descending order, you can use the DESC keyword. December 18, 2014. Pattern Matching: Like Operator. Get it on your mobile. Learn SQL now with Knowledify.
Features | Knowledify
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Skip to main content. Becoming fluent in SQL takes practice. Reading up, studying the theory or simply knowing the syntax will take you so far; but only regular practice on the full range of the language will make you fluent. Practicing SQL should also be hassle-free and (yes! Fun With Knowledify, you will play the role of a freshly hired employee. Why should you use Knowledify? Practice on statements and SQL constructs that you may have forgotten. Maintain and also enrich your knowledge in SQL. Becoming...
Pattern Matching: Like Operator | Knowledify
http://www.knowledify.com/sql/like
Skip to main content. The LIKE operator is used in a WHERE clause to search for a specified pattern in a column. December 9, 2014. Get it on your mobile. Learn SQL now with Knowledify. Becoming fluent in SQL takes practice. Reading up, studying the theory or simply knowing the syntax will take you so far; but only regular practice on the full range of the language will make you fluent.
Learn | Knowledify
http://www.knowledify.com/learn
Skip to main content. Dec 18, 2014. Dec 18, 2014. Pattern Matching: Like Operator. Dec 9, 2014. Get it on your mobile. Learn SQL now with Knowledify. Becoming fluent in SQL takes practice. Reading up, studying the theory or simply knowing the syntax will take you so far; but only regular practice on the full range of the language will make you fluent.
Group By | Knowledify
http://www.knowledify.com/sql/group-by
Skip to main content. The GROUP BY statement is used in conjunction with the aggregate functions to group the result-set by one or more columns. December 18, 2014. Pattern Matching: Like Operator. Get it on your mobile. Learn SQL now with Knowledify. Becoming fluent in SQL takes practice. Reading up, studying the theory or simply knowing the syntax will take you so far; but only regular practice on the full range of the language will make you fluent.
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Explore Knowledify
Access the help system available from Knowledify SQL. Go through the orientation to start learning the basis. Start with basic statements. Step up with advanced search criteria. To filter your data. Fine tune your search queries using wildcard. Operators in your projections. Functions over a result set. Group 'em all. The result-set by one or more columns. Values as well as NULL. Check out Google Play.
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