Our tables within that database are: people_connecticut, people_maine, people_massachusetts, people_newhampshire, people_rhodeisland, and people_vermont.Let's do a quick review of the hierarchy using our New England example: This provides a list of all of the data that you can pull using SQL. In order to figure this out, use the query “Describe people_massachusetts ”. For example, if you want to pull someone's address, the field name may not just be “address” - it may be separated into address_city, address_state, address_zip. Fields are the specific pieces of data that you can pull from your database. If we use the query “SHOW TABLES in NewEngland ”, we'll find that we have tables for each state in New England: people_connecticut, people_maine, people_massachusetts, people_newhampshire, people_rhodeisland, and people_vermont.įinally, you need to find out which fields are in the tables. Using the same example above, let's say we want to find out which information is contained in one of the databases. Within your database, you'll have different tables containing the data you want to work with. The results may show that you have a couple of databases for different locations, including one for New England. If you have multiple databases of data, you'll need to hone in on the location of the data you want to work with.įor example, let's pretend we're working with multiple databases about people in the United States. Next, it's important to become accustomed to your database and its hierarchy. Understand the hierarchy of your database The option you choose will depend on your product's back end, so check with your product team to make sure you select the correct one. Start by downloading one of these options, then talk to your company’s IT department about how to connect to your database. Some options include MySQL or Sequel Pro. How to Write Simple SQL Queriesīefore we begin, make sure you have a database management application that will allow you to pull data from your database. In other words, SQL takes care of the data analysis that you may be used to doing in Excel. Think about it this way: Have you ever opened a very large data set in Excel, only for your computer to freeze or even shut down? SQL allows you to access only certain parts of your data at a time so you don't have to download all the data into a CSV, manipulate it, and possibly overload Excel. Of course, these are just a few of many possible applications. If you’re helping develop a website for an ecommerce company that has data about customer purchases, you can use SQL to find out which customers are purchasing which products. (And chances are, yours does.)įor example, if you work for a software company and want to pull usage data on your customers, you can do that with SQL. The beauty of SQL is that anyone working at a company that stores data in a relational database can use it. SQL (often pronounced like “sequel”) stands for Structured Query Language, and it's used when companies have a ton of data that they want to manipulate. But not to worry - you're in the right place to get started. If your company already stores data in a database, you may need to learn SQL to access the data. SQL is the most popular tool out there for doing just that. Well, you couldn't be more wrong! The most successful marketers are data-driven, and one of the most important parts of being data-driven is collecting data from databases quickly.
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