R is a statistical modeling platform, used in data analytics and research works involving machine learning and data science. On the other hand, SQL is used for database management and data manipulation, ensuring data consistancy for multiple-users. The debate on which one is better, solely depends on the purpose of the work considering the points mentioned above. However, the best results can be obtained by integrating both R and SQL, data can extracted from the database by using SQL queries and analyzed and visualized through R.
checking in from the future, this is true for the Fortune 500 I work for. Applying for promotions now, and jobs postings request knowledge in r, python, sql, and power of bi. I'm still familiarizing myself with power of bi, but you can write in many languages within power of bi.
R is a statistical modeling platform, used in data analytics and research works involving machine learning and data science. On the other hand, SQL is used for database management and data manipulation, ensuring data consistancy for multiple-users.
The debate on which one is better, solely depends on the purpose of the work considering the points mentioned above.
However, the best results can be obtained by integrating both R and SQL, data can extracted from the database by using SQL queries and analyzed and visualized through R.
In 2022. you need them all and big data (Apache Hive, Impala. Kudu). In addition, I would add power BI to the basket.
checking in from the future, this is true for the Fortune 500 I work for. Applying for promotions now, and jobs postings request knowledge in r, python, sql, and power of bi. I'm still familiarizing myself with power of bi, but you can write in many languages within power of bi.