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：免费试用您将获得的技能: 可扩展性, Apache Hadoop, Docker (软件), Kubernetes, PySpark, 调试, 分布式计算, 大数据, 性能调整, Apache Spark, IBM 云, 数据处理, Apache Hive, 数据转换
状态：免费试用您将获得的技能: Apache Hadoop, 监督学习, 数据库, Docker (软件), 数据管道, 可扩展性, Apache Cassandra, PySpark, 数据库管理, 机器学习, MongoDB, Kubernetes, 生成式人工智能, 分布式计算, 大数据, Apache Spark, Apache Hive, IBM 云, 应用机器学习, NoSQL
状态：免费试用您将获得的技能: 可扩展性, 命令行界面, 数据管道, 数据转换, 数据迁移, Data Mart, Apache Kafka, 阿帕奇气流, 大数据, 性能调整, 数据仓库, 数据整合, 数据处理, 摘录, Unix Shell, 网页抓取, 外壳脚本
University of California San Diego
您将获得的技能: Apache Hadoop, Python 程序设计, 数据分析, 可扩展性, 数据科学, 分布式计算, Apache Spark, 大数据, 性能调整, 数据处理, 数据存储
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：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)
是什么让您今天来到 Coursera？
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: 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：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Coursera Instructor Network
您将获得的技能: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
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：免费试用状态：人工智能技能IBM
您将获得的技能: SQL, Apache Hadoop, 数据库管理员, 数据分析, Python 程序设计, Linux 命令, 数据科学, 数据导入/导出, MySQL, 专业网络, Apache Spark, 数据仓库, 摘录, NoSQL, 生成式人工智能, 阿帕奇气流, IBM Cognos 分析, 数据库设计, 网页抓取, 数据存储
总之，以下是 10 最受欢迎的 apache hadoop 课程
- 使用 Spark 和 Hadoop 的大数据简介: IBM
- NoSQL、大数据和 Spark 基础: IBM
- 使用 Shell、Airflow 和 Kafka 的 ETL 和数据管道: IBM
- Hadoop 平台和应用框架: University of California San Diego
- PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
- Hadoop and Spark Fundamentals: Pearson
- Apache Kafka: LearnKartS
- Spark and Python for Big Data with PySpark: EDUCBA
- Hadoop and Spark Fundamentals: Unit 1: Pearson
- Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera Instructor Network
