September 2024
Intermediate to advanced
606 pages
16h 12m
Spanish
Content preview from Spark: La Guía Definitiva
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
Capítulo 9. Fuentes de datos
Este trabajo se ha traducido utilizando IA. Agradecemos tus opiniones y comentarios: translation-feedback@oreilly.com
Este capítulo presenta formalmente la variedad de otras fuentes de datos que puedes utilizar con Spark fuera de la caja, así como las innumerables otras fuentes construidas por la gran comunidad. Spark tiene seis fuentes de datos "centrales" y cientos de fuentes de datos externas escritas por la comunidad. La capacidad de leer y escribir desde todo tipo de fuentes de datos y de que la comunidad cree sus propias contribuciones es posiblemente una de las mayores fortalezas de Spark. A continuación están las fuentes de datos principales de Spark:
-
CSV
-
JSON
-
Parquet
-
ORC
-
Conexiones JDBC/ODBC
-
Archivos de texto plano
Como mencionó, Spark dispone de numerosas fuentes de datos creadas por la comunidad. He aquí sólo una pequeña muestra:
-
Y muchos, muchos otros
El objetivo de este capítulo es que seas capaz de leer y escribir desde las fuentes de datos principales de Spark y que sepas lo suficiente para comprender lo que debes buscar cuando te integres con fuentes de datos de terceros. Para lograrlo, nos centraremos en los conceptos básicos que debes ser capaz de reconocer y comprender.
La estructura de la API de Fuentes de Datos
Antes de que proceda a explicar cómo leer y escribir desde determinados formatos, visitemos la estructura organizativa general de las API de las fuentes ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.