|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/big-data-using-spark-scala/
课程评论：没有评论
《 Harnessing Big Data with Spark & Scala》 课程总结 本课程专为初学者和希望提升大数据技能的学习者设计。无论您是大数据领域的“小白”，还是已有一定基础想要进一步精进，本课程都能助您轻松掌握并在实际项目中得心应手。 课程尤其适合备考 CCA 175 认证的学员，并提供相关练习测试。 **核心优势：** * **无需昂贵硬件：** 课程提供详尽的 Hadoop 平台搭建教程，支持低配电脑（6GB RAM 以下）的虚拟机环境，或提供预先配置好的虚拟机，无需租赁集群，一次投入，长期受益。 * **高价值技能组合：** 学习并实践 Hadoop、Flume、Kafka、Spark 和 Scala 等当前市场上需求旺盛的关键技术。 * **实战导向：** 提供大量真实项目场景和解决方案，让您仿佛置身真实项目开发，为进入大数据领域做好充分准备。 * **全面技能覆盖：** * 使用 Scala 和 Spark 进行大数据分析。 * 通过 Sqoop 将传统关系数据库数据导入 HDFS 和 Hive。 * 运用 Flume 和 Kafka 处理流式数据。 * 使用 Hive 进行数据存储和查询，并学习表分区。 * 通过 Spark Streaming 从 Kafka 和 Flume 接收流数据。 * **领先的技术栈：** 课程提供的虚拟机预装了 Spark 2.2.0 版本和 Kafka，区别于标准 Cloudera VM（仅 Spark 1.6，无 Kafka），无需额外升级，开箱即用。 * **深入理解基础：** 讲解 `hdfs-site.xml`、`core-site.xml` 等配置文件，帮助您理解大数据平台基础架构。 * **快速上手：** 课程目标是让您快速掌握大数据工具，自信地将相关技能写入简历，并能立即投入实际工作。 完成本课程后，您将具备在大数据项目流畅工作和实现技能的信心，为您的职业发展奠定坚实基础。
The Course is for those who do not know even ABC of Big Data and tools, want to learn them and be in a comfortable situation to implement them in projects. The course is also for those, who have some knowledge on Big Data tools, but want to enhance them further and be comfortable working in Projects. Due to the extensive scenario implementation, the course is also suitable for people interested to write Big Data Certifications like CCA 175. The course contains Practice Test for CCA 175.Because the course is focused on setting up the entire Hadoop Platform on your windows (for those having less than 6GB RAM) and providing or working on fully configured VM's, you need not to buy cluster very often to practice the tools. Hence, the Course is ONE TIME INVESTMENT for secure future.In the course, we will learn how to utilize Big Data tools like Hadoop, Flume, Kafka, Spark, Scala (the most valuable tech skills on the market today).In this course I will show you how to - Use Scala and Spark to analyze Big Data.Practice Test for writing CCA 175 Exam is available at the end of the course.Extensive and Real time project scenarios with solutions as you will write in REAL PROJECTSUse Sqoop to import data from Traditional Relational Databases to HDFS & Hive.Use Flume and Kafka to process streaming dataUse Hive to view and store data & Partition the tablesUse Spark Streaming to fetch the streaming data from Kafka & FlumeThe VM's in the course are configured to work synchronously together and also have Spark 2.2.0 Version Installed. (Standard Cloudera VM has Spark 1.6 Installed with NO KAFKA and requires an upgrade for Spark, while the VM's provided in the course has Spark 2.2 configured and working along with Kafka.)Big Data is the most in demand skills right now, and with this course you can learn them quickly and easily! You can also learn the components in the basic setup in files like "hdfs-site.xml", "core-site.xml" etc They are good to know if working for a projet.The course is focused on upskilling someone who do not know Big Data tools and target is to bring them up-to the mark to be able to work in Big Data projects seamlessly without issues. This course comes with some project scenarios and multiple datasets to work on with.After completing this course you will feel comfortable putting Big Data, Scala and Spark on your resume and also will be easily able to work and implement in projects!Thanks and I will see you inside the course!
