Reimagining the SQL Curriculum: Change How SQL is Taught. SQL has transformed itself from a specialized skill to a core requirement for all data-related jobs. What can be done to educate more professionals in this proficiency?
After looking at SQL's impressive 50-year reign and what we could learn from it, let us now focus on how we can learn it.
Not only is SQL everywhere, but it is also in high demand. A quick search of job boards easily reveals not only that virtually all of the S&P 500 companies are hiring for SQL skills, but that the demand for them is even higher than more 'high-tech' languages like R and Python.
With such great demand, it should be obvious that this 'ancient' language is being taught far and wide to everyone starting as early as possible. Surprisingly, this could not be further from the truth.
This article will discuss the wide-ranging benefits of learning SQL, how we can transform the current curriculum and the drastic split from coding that will have to happen.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.
In this post, we'll learn Getting Started With Data Lakes.<br><br> This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that's designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You'll also explore key benefits and common use cases.
The biggest problem we face today is the commoditization of education. Individuals and corporations alike would like quality courses to be offered by the best faculty at the lowest price
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.