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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-hadoop-framework-including-kafka-spark-and-mongo-db/
课程评论：没有评论
**课程名称：** Hadoop completos框架，包含 Kafka, Spark 和 MongoDB **课程概述：** 本课程专注于数据分析领域，旨在帮助学员理解如何利用大数据驱动商业战略和绩效。课程涵盖从回顾性分析（评估过往情况）到前瞻性预测（情景规划和预测建模）的广泛方法。数据分析贯穿于企业的所有职能部门，以解决信息管理、绩效优化和分析洞察力等一系列机遇。 课程强调组织认识到将海量数据转化为可操作见解的内在价值。数据科学被视为大数据分析的最高层次，能够提供最准确的可操作见解，预测未来事件并指导应对行动。 Hadoop 作为一种开源软件框架，用于在商用硬件集群上存储数据和运行应用程序，为任何类型的数据提供海量存储、巨大的处理能力以及处理几乎无限并发任务或作业的能力。Hadoop 不仅是一个高效的分布式存储系统，更是一个分布式计算环境，能够将分析执行在数据所在的位置。 **课程内容亮点：** * **Hadoop 框架详解：** 深入剖析 Hadoop 框架及其生态系统，所有概念均通过详细的示例和商业用例进行讲解。 * **前沿大数据技术：** 涵盖 Apache Spark、Apache Kafka 和 MongoDB 等最新的大数据技术。 * **实战导向：** 结合商业用例作为案例研究，加深学员对概念的理解。 * **求职辅助：** 提供每个生态系统相关的面试问题和简历准备技巧，助力学员职业发展。
Data Analytics is the practice of using data to drive business strategy and performance. It includes a range of approaches and solutions, from looking backward to evaluate what happened in the past to looking forward to do scenario planning and predictive modelling.Data Analytics spans all of the functional businesses to address a continuum of opportunities in Information Management, Performance Optimisation and Analytic Insights. Organizations now realize the inherent value of transforming these big data into actionable insights. Data science is the highest form of big data analytics that produce the most accurate actionable insights, identifying what will happen next and what to do about it. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. Hadoop is not just an effective distributed storage system for large amounts of data, but also, importantly, a distributed computing environment that can execute analyses where the data is. In this course, detailed explanation about hadoop framework and its ecosystems has been provided. All the concepts are explained in detail with examples and business use cases as case studies.Also, latest technologies in big data area like apache spark, apache kafka, Mongo DB are explained. In addition, Interview questions with respect to each ecosystem and resume preparation tips are included.
