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所在平台: Udemy |
课程主页: https://www.udemy.com/course/delta-lake-with-apache-spark-using-scala/
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课程名称：使用Scala的Apache Spark与Delta Lake 课程概述：本课程旨在教会学员如何在DataBricks平台上使用Scala学习Delta Lake与Apache Spark的结合。这是一个学习最新大数据技术Spark的绝佳机会，能够帮助学员掌握分析大型数据集的技能。课程内容涵盖Apache Spark的核心概念，帮助学员了解其如何被众多知名科技公司（如Google、Facebook、Netflix等）用于解决大数据问题。 Delta Lake是一个开源存储层，为数据湖提供可靠性，具备ACID事务、可扩展的元数据处理以及统一流处理与批处理功能。Delta Lake能够与现有的数据湖兼容并在其上运行。课程将指导学员如何使用Delta Lake，构建现代化的实时数据管道和分析解决方案，并通过实践学习创建ACID合规的数据湖、优化性能、简化数据操作。 学员将学习到的具体内容包括： - Delta Lake与数据湖的基本概念和关键特性 - 在DataBricks上创建免费账户及Spark集群配置 - 使用notebooks和DataFrames的基础知识 - 数据表的创建、写入、读取、模式验证及更新 - 性能优化和文件管理自动化 - 数据隔离级别和最佳实践 - 常见的Databricks面试问题 学习成果包括： - 掌握Delta Lake用于构建高性能数据管道的技能 - 理解ACID事务在大数据环境中的应用 - 实现实时与批处理数据的无缝结合 - 理解Delta Lake的时间旅行、模式演变和数据版本控制等高级优化功能 适合报名的人群包括希望用Delta Lake现代化数据基础设施的数据工程师及架构师、希望提高数据管道可靠性与可扩展性的超大数据专业人员，以及希望利用最新技术推动商业增长和创新的IT领导者。不要让过时的系统阻碍你的发展，立即报名学习Delta Lake，成为推动组织数据可靠性、速度与可扩展性的核心力量！
You will Learn Delta Lake with Apache Spark using Scala on DataBricks PlatformLearn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Scala!One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 3.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Delta Lake runs on top of your existing data lake and is fully compatible with Apache Spark APIs.Are you ready to take your big data skills to the next level and revolutionize how you manage data at scale? Delta Lake, the open-source storage layer built on top of Apache Spark, is the game-changing technology transforming unreliable data lakes into robust, high-performance systems. It empowers organizations to manage streaming and batch data seamlessly, ensuring reliability, consistency, and scalability for critical business processes.This course is your step-by-step guide to mastering Delta Lake, equipping you with the skills to build modern, real-time data pipelines and analytics solutions. Through a hands-on approach, you'll learn how to create ACID-compliant data lakes, optimize performance, and streamline data operations-positioning yourself as a leader in big data and analytics.Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.Topics Included in the CoursesIntroduction to Delta LakeIntroduction to Data LakeKey Features of Delta LakeIntroduction to SparkFree Account creation in DatabricksProvisioning a Spark ClusterBasics about notebooksDataframesCreate a tableWrite a tableRead a tableSchema validationUpdate table schemaTable MetadataDelete from a tableUpdate a TableVacuumHistoryConcurrency ControlOptimistic concurrency controlMigrate Workloads to Delta LakeOptimize Performance with File ManagementAuto OptimizeOptimize Performance with CachingDelta and Apache Spark cachingCache a subset of the dataIsolation LevelsBest PracticesFrequently Asked Question in Interview About Databricks: Databricks lets you start writing Spark code instantly so you can focus on your data problems.What You'll Gain:Data Lake Expertise: Learn to implement Delta Lake for building resilient, high-performance data pipelines.ACID Transactions for Big Data: Master Delta Lake's ability to bring database-like reliability to your data lakes.Real-Time & Batch Data Processing: Combine streaming and batch data seamlessly for faster and more accurate insights.Advanced Optimization: Explore Delta Lake features like time travel, schema evolution, and data versioning to future-proof your workflows.Real-World Applications:Real-Time Analytics: Power your organization's decision-making with reliable, up-to-date insights.Data Governance: Ensure data accuracy and compliance with robust version control and auditing.High-Performance Data Pipelines: Build scalable systems that handle massive data loads effortlessly.Who Should Enroll:Data Engineers & Architects eager to modernize their data infrastructure with Delta Lake.Big Data Professionals looking to improve the reliability and scalability of their data pipelines.IT Leaders & Innovators aiming to leverage the latest technology to drive business growth and innovation.Don't let outdated systems hold you back. Enroll now to master Delta Lake and become a driving force behind data reliability, speed, and scalability in your organization!
