Explore stock prices with Spark SQL

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En este proyecto guiado, tú:

Create an application that runs on a Spark cluster

Derive knowledge from data using Spark RDD and DataFrames

Store results in Parquet tables

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 1-hour long project-based course, you will learn how to interact with a Spark cluster using Jupyter notebook and how to start a Spark application. You will learn how to utilize Spark Resisilent Distributed Datasets and Spark Data Frames to explore a dataset. We will load a dataset into our Spark program, and perform analysis on it by using Actions, Transformations, Spark DataFrame API and Spark SQL. You will learn how to choose the best tools to use for each scenario. Finally, you will learn to save your results in Parquet tables.

Habilidades que desarrollarás

  • Spark SQL
  • Data Analysis
  • Big Data
  • Apache Spark
  • Distributed Computing

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. By the end of Task 1, you will become familiar with the Jupyter notebook environment

  2. By the end of Task 2, you will be able to initialize a Spark application

  3. By the end of Task 3, you will be able to create Spark Resilient Distributed Datasets

  4. By the end of Task 4, you will be able to create Spark Data Frames in several ways

  5. By the end of Task 5, you will be able to explore data sets with Spark SQL

  6. By the end of Task 6, you will be able to write statistic queries and compare Spark DataFrames

  7. By the end of Task 7, you will be able to store DataFrames in Parquet tables

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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