Choosing between Microsoft's Azure SQL and SQL Server is a common dilemma. Which SQL database system is best to use? This question weighs on the minds of many database managers, administrators, and analysts.
Increasingly, businesses and enterprises are shifting to the cloud in search of security, efficiency, and innovation. This has led to a critical lack of talent with the necessary cloud skills to help organizations achieve their goals.
Increasingly, businesses and enterprises are shifting to the cloud in search of security, efficiency, and innovation. This has led to a critical lack of talent with the necessary cloud skills to help organizations achieve their goals.
One-and-done changes will not work; it is a constant process of weeding out the old, optimizing the new, and keeping on top of trends and site analytics.
Bringing in external hires versus promoting from the inside is not a new debate. Business owners and human resource managers have long since covered every aspect of the issue.
If you are considering introducing a data visualization tool to help you with business analytics and empower you to make data-driven decisions, there are 5 top options.
While there are multiple languages that data scientists can use, Python has essential advantages for data science. Each language has its specific history, purpose, strengths, and style. The choice of language should be informed by the type of work being done now and in the future. In this post, I make the (somewhat opinionated) case for why Python is the best choice as the primary language for data science coding shops.
Most authors will shy away from making a specific recommendation to avoid offending. I'm not going to do that. When we're finished, you'll be able to make an informed decision as to which is the best framework for your specific situation.
