SQL again is even more popular among professionals than Python. The results of the latest 2020 StackOverflow survey cond

Race Condition is a recurring problem in Relational Database Management Systems (RDBMS). It happens when millions or billions of operations are performed on a database at the same time.,The top of the list was dominated by web development languages such as Javascript, HTML/CSS with 69.7%, 62.4% respectively. Right below lies SQL with a strong 56.9%. Then on the 4th rank stands Python with 41.6% which is roughly 15% less than SQL.,Although SQL is well regarded among professional developers, it is strangely underrated in most learning platforms on the internet. This impacts negatively self-taught individuals and hinders their progress towards becoming data scientists.,Without getting too much into the details, one possible solution among others to handle these situations is to use “locks”. Of course, each solution has its own use cases and limitations.,An example of that will be when a post on social media goes viral and millions of people interact with it simultaneously resulting in intertwined operations on the database, which leads to constrains violation and many more unwanted results.,In addition, engineering isn’t always deemed essential for data scientists. This is a problem because engineers might not always understand all the details of what a data scientist envisions, or might implement things differently due to miscommunication. Therefore, data scientists who can deploy their models have a competitive edge over those who can’t, as StackOverflow points out.,There are slight differences in the syntax of SQL software. This can be annoying since not all businesses use the same software. Hence one should learn at least the most used ones such as MySQL and SQL Server.,With over 1,000 Americans dying every day of Covid, the president of the United States refusing to concede an election he lost, and the West Coast continuing to burn, there is no shortage of pressing issues to be outraged over. That’s why I find it so strange that conservatives have focused their energy and ire on perhaps the most innocuous event of the year: a male celebrity in a dress.,There are slight differences in the syntax of SQL software. This can be annoying since not all businesses use the same software. Hence one should learn at least the most used ones such as MySQL and SQL Server.,Learning SQL is not a walk in the park. The query language does not only require industry settings — server if working locally — but working with SQL involves using more than one database software. MySQL, SQL Server, and PostgreSQL to name a few.,A Data Engineer is not just an ETL person now. They’re not just a database person either. A Data Engineer is an amalgamation of all the things we have talked about in this piece and maybe some more. Again, remember that mastery of all these technologies is not possible, but one can certainly be aware and be skilled in some of these. That’s what is the need of the hour. And this will probably be the case for next couple of years.,First, online courses on SQL are scarce compared to those on Python. For example, Edx produces 31 courses when typing the word “SQL” in the search bar unlike “Python” which yields 94.,If Zoom Dick has reinforced anything about journalism, it’s the reminder of a stark stratification in the industry. There are people who feel totally fine literally jerking off at work and collecting a comfortable paycheck, while the media underclass writes SEO posts in a permanent stress-crouch position for barely enough money to cover rent. You’re a figurative Toobin, or you’re writing 7 posts a day, wondering if you’ll be allowed back in the office to collect the stuff on your desk if you get let go in the looming next round of layoffs, or if they’ll just throw out your succulent and your notepads when they decide to shift to permanent WFH in a few months because of the overhead rent costs.,Second, there is a gap in SQL courses’ levels. Simply put, either the course is too introductory or advanced. The former scratches on the surface of SQL such as (SELECT, INSERT, and UPDATE queries). Whereas, the latter might appear cryptic and hopeless to follow.,Python remains an interesting coding language to learn especially for aspiring data scientists. Its importance in data science should not be overlooked or underestimated. But SQL remains the dark horse for the edge, which it gives one over other candidates when the competition for a position is fierce.