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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-associate-developer-certification-spark-3point0/
课程评论：没有评论
课程名称：Databricks认证助理开发者 - Spark 3.0 课程概述：本课程为Databricks认证助理开发者培训课程，专为准备Apache Spark认证考试的学员设计。课程内容强调实践，通过提供超过60个编码问题的练习，帮助学员掌握必备技能。学员将使用两个实时数据集，以Python应用DataFrame API，在Databricks社区版上进行实践操作。课程中将详细讲解和示范考试中常见的DataFrame API，并配有样例代码。 课程结构包括以创意可视化方式教授的Spark架构模块，学员可以在每个模块结束时进行测验，巩固所学的概念。课程内容互动性强，学员在学习过程中可实时编码，增强理解能力。 课程亮点： - 互动学习，随手编写代码 - 创意可视化，帮助理解架构概念 - 超过120分钟的编码练习 - 超过200分钟的视频课程 本课程将涵盖以下主题模块的DataFrame API会话： - SparkSession - DataFrame的写入与读取 - 数据选取、过滤、去重等操作 - 聚合、排序、分组等功能 - 日期和时间的处理 - 用户自定义函数（UDF）和lambda表达式 - 数据持久化、缓存与卸载 此外，还将介绍架构概念，包括部署模式、Spark UI、作业、阶段与任务的管理，以及物理和逻辑计划等知识。 总结：本课程将作为Databricks助理开发者认证考试的学习指南，帮助学员全面理解并应用Spark 3.0，特别是针对Databricks环境的实际操作。特别声明：该课程由Kanchana Selvakumar创建，与Databricks无任何关联或隶属关系。
Databricks Certified Associate Developer Training course.The Databricks certified associate developer for Apache Spark certification exam needs plenty of practice.This course hasPractice exercises on the go- A course laden with writing practice ,which can then be executed on the Databricks community edition.(over 60 coding questions)Datasets on realtime events-Learning(Understand ) and practicing(Apply) the DataFrame APIs in python using two real time datasets.All the DataFrame APIs most commonly tested in the Databricks certified associate developer exam are taught and explained with sample code which can be tried on Databricks Community Edition.Architecture modules( commonly tested in the Databricks certified associate developer exam) have quiz that you can partake at the end of every module to reinforce the concepts learnt, on time, every time and anytime!!Spark Architecture is taught with creative Visualisation for better retention.What you will cherish in this course:-interactive, as you write on the go,-creative, to understand better the concepts of architecture.-over 120 minutes of practice code.-over 200 minutes of video lessions.All this as a ready reckoner for all your learning needs for the Databricks Associate Developer Certification on spark 3.0 in python.DataFrame API sessions on python on the following topic modulesSparkSession.Dataframe writer,reader.Select,filter,where,drop,dropduplicates.SelectExpr,withColumn,take,first.Aggregations ,Sort,groupby,orderby.Date and time.UDF including lambda.Explode,split.Persist,Cache,Unpersist.Architecture concepts onModes of deployment -visualPartition-visualSpark UI-Jobs,stage,tasks. -wide and narrow transformations.-physical logical plans,AQE,DPP.-Data locality.It's an honour to help you learn spark 3.0 specific to Databricks Associate Developer Certification exam. Disclaimer: This course is created by Kanchana Selvakumar.This is not associated or affiliated with Databricks.
