Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.
Este curso forma parte de Programa especializado: Data Science with Databricks for Data Analysts
15.511 ya inscrito
ofrecido por
Acerca de este Curso
51.972 vistas recientes
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Familiarity with SQL
Aprox. 14 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
Qué aprenderás
Ingest, transform, and query data to extract valuable insights.
Leverage existing SQL skills to start working with Apache Spark.
Habilidades que obtendrás
- Data Analysis
- Spark SQL
- SQL
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Familiarity with SQL
Aprox. 14 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
ofrecido por
Databricks
Databricks is the data and AI company. Founded by the creators of Apache Spark™, Delta Lake and MLflow, organizations like Comcast, Condé Nast, Nationwide and H&M rely on Databricks’ open and unified platform to enable data engineers, scientists and analysts to collaborate and innovate faster.
Programa - Qué aprenderás en este curso
27 minutos para completar
Welcome to Apache Spark SQL for Data Analysts
An introduction to this course including learning objectives, frequently asked questions, and a chance to get to know fellow classmates.
27 minutos para completar
1 video (Total 2 minutos), 1 lectura, 1 cuestionario
1 hora para completar
Spark makes big data easy
1 hora para completar
6 videos (Total 21 minutos)
3 horas para completar
Using Spark SQL on Databricks
3 horas para completar
9 videos (Total 19 minutos), 4 lecturas, 2 cuestionarios
1 hora para completar
Spark Under the Hood
1 hora para completar
7 videos (Total 32 minutos)
Reseñas
- 5 stars66,57Â %
- 4 stars25,06Â %
- 3 stars5,74Â %
- 2 stars1,82Â %
- 1 star0,78Â %
Principales reseñas sobre APACHE SPARK (TM) SQL FOR DATA ANALYSTS
por GL15 de sep. de 2021
The notebooks could be more interactive, you just read and press ctrl+enter on the SQL block.
por RV14 de feb. de 2021
Great main instructor and helpers. Great content. Lots of hands on. Loved it!
por FI30 de jul. de 2021
This course is amazing. The hands on labs was outstanding. But, the audio quality was poor. Needs to improve the audio quality. Overall a great experience learning Apache Spark.
por IN20 de feb. de 2021
The material in the course is very good selected for learning Spark SQL. However, it might have been more neat prepared and the questions in quiz and exam could be more difficult
Acerca de Programa especializado: Data Science with Databricks for Data Analysts
This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
