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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hadoop-and-big-data-for-absolute-beginners/
课程评论：没有评论
**Course Name:** Hadoop and Big Data for Absolute Beginners (Hadoop与大数据入门) **Course Summary:** 本课程专为初学者设计，旨在帮助您掌握大数据的基本概念和实操技能。大数据并非总是整洁有序，它常常以海量、杂乱的比特和字节形式存在。数据的价值在于挖掘其中的模式和趋势，从而做出更明智的决策。Hadoop和HDFS是处理这些数据的关键技术。 本课程将深入讲解Hadoop这一流行的开源大数据框架，它通过MapReduce编程模型，将大数据集分割成大块，并分布到集群的各个节点上并行处理。这种分布式处理方式极大地提高了数据排序和处理的效率。 课程内容涵盖： * 大数据的不同概念 * Hadoop的安装与配置（包括EC2实例的设置） * Hadoop核心概念 * HDFS（Hadoop分布式文件系统）架构 * MapReduce工作原理 * Apache Pig和Hive的安装与配置 **先修要求：** 掌握UNIX和Java基础知识。 **课程目标：** 获得扎实的理论知识，并具备将这些知识应用于实际大项目实践的信心，成为一名出色的“大数据忍者”。
Master Big Data with our PRACTICAL Big Data Course! Big Data isn't always found in a sorted filed cabinet; sometimes, it's just in a huge mess of bits and bytes. The value of data isn't understood until we start finding patterns and trends within the data, which we can then start using for making more sound and informed decisions. However, there are technological solutions to help you not only sort data, but also help you find these trends within them. Hadoop and HDFS are two of the many different technologies that are available to help you. And, this is exactly what we are offering in this Big Data for absolute beginners course! Hadoop is an open-source framework and is the more popular solution to big data. It works for storing and processing big data sets using the MapReduce programming model, in which it split files into large blocks and distributes them across nodes in a cluster. These clustered packaged codes are then transferred to nodes to process the data in parallel. This simplifies the process of sorting and processes data faster and more efficiently. And in this course, you will learn not only about Hadoop and associated technologies but also everything you need to know about Big Data. From installation to configuration and even to actually tackling big data, you will become a big master expert with our course. Designed from the ground up, the only pre-requisite is knowing UNIX and Java. In collaboration with Big Data experts, at the end of this course you will not only have the theoretical knowledge, but also the confidence for putting this knowledge into practical application. You will be handling big data projects with our course in no time. The course will cover topics such as different concepts of big data, setting up and configuring Hadoop and EC2 instance, Hadoop core concepts, HDFS architecture, Map Reduce, as well as installation and configuration of Apache Pig and Hive. Enroll now and become a Big Data Ninja!
