August 2024
Intermediate to advanced
380 pages
10h 16m
Spanish
Content preview from Aprender SQL, 3ª Edición
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Prefacio
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Los lenguajes de programación van y vienen constantemente, y muy pocos de los que se utilizan hoy en día tienen raíces que se remonten a más de una década o así. Algunos ejemplos son COBOL, que todavía se utiliza bastante en entornos mainframe; Java, que nació a mediados de los 90 y se ha convertido en uno de los lenguajes de programación más populares; y C, que sigue siendo bastante popular para el desarrollo de sistemas operativos y servidores y para sistemas embebidos. En el ámbito de las bases de datos, tenemos SQL, cuyas raíces se remontan a los años 70.
SQL se creó inicialmente como lenguaje para generar, manipular y recuperar datos de bases de datos relacionales, que existen desde hace más de 40 años. Sin embargo, durante la última década aproximadamente, otras plataformas de datos como Hadoop, Spark y NoSQL han ganado mucha tracción, comiéndose el mercado de las bases de datos relacionales. Sin embargo, como se verá en los últimos capítulos de este libro, el lenguaje SQL ha ido evolucionando para facilitar la recuperación de datos de diversas plataformas, independientemente de si los datos están almacenados en tablas, documentos o archivos planos.
¿Por qué aprender SQL?
Utilices o no una base de datos relacional, si trabajas en ciencia de datos, inteligencia empresarial o alguna otra faceta del análisis ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.