IT provides a wide and growing job market, offering many excellent opportunities in both career development and earning potential. Today we’ll take a look at several very interesting SQL/Database-related jobs. Every year, many in the work force set their sights and aim for new and better jobs. When it comes to jobs, “better” means different things to different people, but earning potential is almost always a top priority. Enter the growing field of IT, in which new challenges wait around every corner!
Recursive Common Table Expressions are immensely useful when you’re querying hierarchical data. Let’s explore what makes them work. Common Table Expressions (CTEs) are some of the most useful constructions in SQL. Their main purpose is improving query design, which makes queries easier to read. One of the reasons CTEs are so popular is that they let you divide longer queries into shorter subqueries. These are easier to read and edit.
When you need to combine information from multiple tables or queries, SQL set operators are a useful tool. SQL queries let us choose the most important bits from large amounts of information. Of course, we can’t expect that all necessary data will be stored in one table. Let’s say we want to present every aspect of some key data group in one results table (e.g. making a report with the names of every customer served by every department of a large company).
“Learn SQL the Hard Way” by Zed A. Shaw is a great ebook for those who want to learn SQL essentials. At $19.99 USD, it may seem a bit expensive for an ebook, but you’re getting a DRM-free PDF, plus a whole bunch of explanatory videos and additional files. Who should read “Learn SQL the Hard Way”? Anyone interested in SQL basics – modifying databases or selecting information. Make no mistake about it: this book focuses heavily on the practical side of database language.
SQL string functions are among most important SQL’s tools. In this post, we’ll look at five ways you can perform various operations on strings. There are many SQL functions that let you “edit” string data. Some sql trim off unneeded spaces or characters; others tell you how long a string is. These functions give you a lot of opportunities to transform and work with strings, which makes your code more effective.
Long SQL queries are notoriously hard for beginners to structure and understand. These five tips will teach you the best practices for writing and formatting complex SQL code. As we all know, SQL queries are essential to database management. Without them, it would be extremely difficult to find and work with the information in a database. Query length depends on the type of information we need and the size of the database.
Congratulations! Your SQL skills were strong enough to get you that job interview! Now, if you only knew what SQL questions and practical exercises a recruiter might ask you to do… In this article, we help you prepare for the SQL and database aspects of a job interview. In a previous article, I explained how can you boost your career by learning SQL. It opens up opportunities in and out of IT, as this query language is used practically everywhere.
So you have some SQL skills and you’re looking for a job that will use them. What are your options? SQL is everywhere, and there’s a huge demand for people with database management skills. This is especially the case when companies start implementing Big Data solutions and strategies. There’s no arguing that SQL is a must-have skill. If you’re already proficient, how can you put your expertise to practical use in the job market?
The tech sector is experiencing strong job growth. Should SQL be on your list of must-have skills? If you’re even remotely interested in finding a new job, you’ve probably noticed that IT jobs are hot. Not only are a lot of these jobs available, they offer some pretty great opportunities to challenge yourself, grow, and build new skills. And the compensation tends to be pretty awesome too. In today’s world, technology is evolving at an almost daily pace, and this is producing a flood of data that has to be managed.