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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-spark-with-scala-useful-for-databricks-certification/
课程评论：没有评论
课程名称：Apache Spark与Scala（适用于Databricks认证） 课程概述： Apache Spark与Scala是专为Databricks认证爱好者设计的速成课程，适合初学者。大数据分析是一项热门且具有高度价值的技能，本课程将教您大数据领域中最炙手可热的技术——Apache Spark。许多知名企业如亚马逊、eBay、NASA和雅虎等都在使用Spark快速从庞大的数据集中提取有意义的信息。您将通过在自己的操作系统上学习实践，以掌握这些技术。 课程内容： 通过30多个动手示例，学习如何将数据分析问题转化为Spark问题，并在Databricks云计算服务（免费服务）上运行。课程覆盖的认证主题包括： 1. Spark架构组成（Driver、Core/Slots/Threads、Executor和Partitions） 2. Spark执行（Jobs、Tasks、Stages） 3. Spark概念（缓存、DataFrame转换与动作、洗牌、Partitioning、宽窄转换） 4. DataFrames API（DataFrameReader、DataFrameWriter、DataFrame [Dataset]） 5. 行与列（DataFrame） 6. Spark SQL函数 课程亮点： - Spark核心基础：理解弹性分布式数据集（RDDs）、转换和动作的基础，构建可扩展的数据管道。 - Spark SQL掌握：对庞大的数据集编写SQL查询，实现结构化和半结构化数据的无缝整合。 - 性能优化：学习高级技术以优化Spark作业，实现更快的执行和成本效率。 - 实际应用：通过ETL工作流、实时分析和数据转换等项目获得经验。 学习准备： 在开始课程之前，您需要设置自己的学习环境，支持的浏览器包括（Google Chrome、Firefox、Safari或Microsoft Edge最新版本），可以在Windows、Linux和macOS上进行。 适合人群： - 数据工程师希望构建坚固的分布式数据处理系统。 - 数据分析师渴望提升SQL技能以轻松处理大数据。 - 开发人员和IT专业人士希望通过掌握这种热门大数据技术来保障职业发展。 课程收益： - 加速决策：实时处理和分析大数据，为快速商业洞察提供支持。 - 可扩展数据解决方案：利用Spark的分布式计算能力构建能够处理TB级或PB级数据的系统。 - 职业晋升：成为大数据工具的专家，开启高薪工作的大门。 不要在大数据革命中落后！立即注册，掌握Apache Spark（Core与SQL），成为可扩展数据处理和分析的专家！
Apache Spark with Scala useful for Databricks Certification(Unofficial)Apache Spark with Scala its a Crash Course for Databricks Certification Enthusiast (Unofficial) for beginners "Big data" analysis is a hot and highly valuable skill - and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, eBay, NASA, Yahoo, and many more. All are using Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Operating system right at home.So, What are we going to cover in this course then?Learn and master the art of framing data analysis problems as Spark problems through over 30+ hands-on examples, and then execute them up to run on Databricks cloud computing services (Free Service) in this course. Well, the course is covering topics which are included for certification: 1) Spark Architecture Components Driver, Core/Slots/Threads, Executor Partitions2) Spark Execution Jobs Tasks Stages 3) Spark Concepts Caching, DataFrame Transformations vs. Actions, Shuffling Partitioning, Wide vs. Narrow Transformations 4) DataFrames API DataFrameReader DataFrameWriter DataFrame [Dataset]5) Row & Column (DataFrame)6) Spark SQL Functions Are you ready to supercharge your data processing and analytics capabilities? Apache Spark is the leading unified analytics engine, powering organizations like Netflix, Uber, and Airbnb to process massive datasets at lightning speed. With its Core and SQL modules, Spark enables you to build scalable, high-performance data pipelines and uncover insights faster than ever.This comprehensive course is your ultimate guide to mastering Apache Spark's Core and SQL functionalities. Whether you're a beginner or an experienced professional, you'll gain hands-on expertise to process data efficiently, write optimized queries, and build end-to-end big data applications. Get ready to unlock your potential and make a real impact in your organization with the skills to handle even the most complex data challenges.What You'll Learn:Spark Core Fundamentals: Understand the foundations of resilient distributed datasets (RDDs), transformations, and actions to build scalable data pipelines.Spark SQL Mastery: Write SQL queries on massive datasets and seamlessly integrate structured and semi-structured data for analytics.Performance Optimization: Learn advanced techniques to optimize Spark jobs for faster execution and cost efficiency.Real-World Applications: Gain experience by working on projects like ETL workflows, real-time analytics, and data transformations.In order to get started with the course And to do that you're going to have to set up your environment.So, the first thing you're going to need is a web browser that can be (Google Chrome or Firefox, or Safari, or Microsoft Edge (Latest version)) on Windows, Linux, and macOS desktop This is completely Hands-on Learning with the Databricks environment.Who Should Enroll:Data Engineers looking to build robust, distributed data processing systems.Data Analysts eager to scale their SQL skills to handle big data with ease.Developers & IT Professionals wanting to future-proof their careers with expertise in one of the most in-demand big data technologies.Real-World Benefits:Accelerate Decision-Making: Process and analyze large datasets in real-time for faster business insights.Scalable Data Solutions: Build systems capable of handling terabytes or petabytes of data with Spark's distributed computing power.Career Advancement: Position yourself as an expert in one of the most sought-after big data tools, opening doors to high-paying roles.Don't get left behind in the big data revolution! Enroll now to master Apache Spark (Core & SQL) and become a go-to expert in scalable data processing and analytics!
