Explore stock prices with Spark SQL
Create an application that runs on a Spark cluster
Derive knowledge from data using Spark RDD and DataFrames
Store results in Parquet tables
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.
您要培養的技能
- Spark SQL
- Data Analysis
- Big Data
- Apache Spark
- Distributed Computing
分步進行學習
在與您的工作區一起在分屏中播放的視頻中，您的授課教師將指導您完成每個步驟：
By the end of Task 1, you will become familiar with the Jupyter notebook environment
By the end of Task 2, you will be able to initialize a Spark application
By the end of Task 3, you will be able to create Spark Resilient Distributed Datasets
By the end of Task 4, you will be able to create Spark Data Frames in several ways
By the end of Task 5, you will be able to explore data sets with Spark SQL
By the end of Task 6, you will be able to write statistic queries and compare Spark DataFrames
By the end of Task 7, you will be able to store DataFrames in Parquet tables
指導項目工作原理
您的工作空間就是瀏覽器中的雲桌面，無需下載
在分屏視頻中，您的授課教師會為您提供分步指導
常見問題
常見問題
如果我購買指導項目，會得到什麼？
指導項目可在台式設備和移動設備上學習嗎？
指導項目的授課教師是誰？
我能在完成指導項目後從中下載作品嗎？
我能夠退款嗎？退款政策是如何規定的？
有助學金嗎？
我能旁聽指導項目並免費觀看視頻部分嗎？
我需要具備多少經驗才能做這個指導項目？
我能直接通過 Web 瀏覽器來完成此指導項目，而不必安裝特殊軟件嗎？
指導項目的學習體驗如何？
還有其他問題嗎？請訪問 學生幫助中心。
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