筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“apache hadoop” 的结果
状态：新状态：免费试用您将获得的技能: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Pipelines, Data Processing, Data Import/Export, Data Integration, Linux Commands, Data Mapping, Linux, File Systems, Text Mining, Data Management, Distributed Computing, Java, C++ (Programming Language)
状态：免费试用您将获得的技能: 分布式计算, 数据转换, 可扩展性, 大数据, 数据处理, Apache Hadoop, 调试, Docker (软件), Apache Spark, Kubernetes, PySpark, IBM 云, 性能调整, Apache Hive
University of California San Diego
您将获得的技能: 数据科学, 分布式计算, 数据分析, 可扩展性, 数据存储, Python 程序设计, 数据处理, Apache Hadoop, Apache Spark, 大数据, 性能调整
状态：新状态：免费试用您将获得的技能: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Mining, Data Transformation, Unstructured Data, Predictive Modeling, Simulation and Simulation Software, Data Manipulation, Marketing Analytics, Image Analysis, Risk Analysis
状态：免费试用您将获得的技能: 机器学习, 分布式计算, NoSQL, 可扩展性, Apache Spark, MongoDB, 数据管道, 大数据, Kubernetes, Docker (软件), 生成式人工智能, 应用机器学习, PySpark, 数据库管理, IBM 云, Apache Hive, 监督学习, Apache Cassandra, 数据库, Apache Hadoop
状态：免费试用您将获得的技能: 命令行界面, 可扩展性, 阿帕奇气流, 数据转换, 网页抓取, Data Mart, 数据处理, 数据管道, Apache Kafka, 数据仓库, 摘录, 大数据, 数据迁移, 性能调整, 数据整合, 外壳脚本, Unix Shell
是什么让您今天来到 Coursera？
状态：免费试用Johns Hopkins University
您将获得的技能: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, Performance Tuning
状态：免费试用LearnKartS
您将获得的技能: Apache Kafka, Apache Spark, Prometheus (Software), Data Pipelines, Distributed Computing, Real Time Data, Data Processing, Security Controls, Configuration Management, Application Performance Management, Performance Tuning, Encryption, Authorization (Computing), Authentications, Data Storage Technologies, Server Administration, Network Monitoring, File Management
状态：新状态：免费试用您将获得的技能: Apache Kafka, Apache Spark, Apache Hadoop, Scala Programming, Real Time Data, Apache Hive, Command-Line Interface, Distributed Computing, Data Processing, Big Data, Apache, Apache Cassandra, Applied Machine Learning, Data Pipelines, Java, Databases, MongoDB, IntelliJ IDEA, NoSQL, Application Deployment
状态：新状态：免费试用您将获得的技能: Apache Spark, Apache Hadoop, Data Lakes, Big Data, Linux Commands, Linux, File Systems, Data Management, Command-Line Interface, Data Processing, Software Installation, Distributed Computing, System Configuration
状态：新状态：免费试用您将获得的技能: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming
状态：免费试用Google Cloud
您将获得的技能: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Cloud Security, Data Integrity, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Cloud Storage, Issue Tracking, Data Storage Technologies, Extract, Transform, Load, Unit Testing, Data Transformation
总之，以下是 10 最受欢迎的 apache hadoop 课程
- Hadoop and Spark Fundamentals: Pearson
- 使用 Spark 和 Hadoop 的大数据简介: IBM
- Hadoop 平台和应用框架: University of California San Diego
- PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
- NoSQL、大数据和 Spark 基础: IBM
- 使用 Shell、Airflow 和 Kafka 的 ETL 和数据管道: IBM
- Big Data Processing Using Hadoop: Johns Hopkins University
- Apache Kafka: LearnKartS
- Big Data Foundations with Hadoop and Spark: Packt
- Hadoop and Spark Fundamentals: Unit 1: Pearson
