个结果，搜索词为 "apache hadoop"
状态：免费试用您将获得的技能: 数据处理, PySpark, 可扩展性, Docker (软件), Apache Hadoop, 数据转换, Kubernetes, Apache Spark, 调试, 大数据, 分布式计算, Apache Hive, IBM 云计算, 开发环境, 性能调整
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
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, Databases, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Performance Tuning
状态：免费试用您将获得的技能: 生成式人工智能, 模型评估, PySpark, 可扩展性, Apache Hadoop, 机器学习算法, Docker (软件), 机器学习, MongoDB, Kubernetes, Apache Spark, 大数据, 监督学习, 摘录, IBM 云计算, Apache Hive, 数据管道, Jupyter, 应用机器学习, Model Evaluation, 图论
状态：新状态：免费试用您将获得的技能: Apache Hadoop, Apache Hive, Extract, Transform, Load, Data Import/Export, Data Pipelines, Big Data, Data Migration, Data Integration, MySQL, Data Processing, SQL, Analytics, Data Manipulation, Database Management, Relational Databases, Data Architecture, Data Quality, Software Installation, Scalability, Performance Tuning
状态：新状态：免费试用您将获得的技能: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Apache Hadoop, Scala Programming, Spring Boot, Development Environment, Apache, JSON, Data Processing, Information Architecture, Live Streaming, Data Transformation, Java, Restful API, Performance Tuning, Software Architecture, Data Validation, System Configuration
是什么让您今天来到 Coursera？
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 Processing, Data Import/Export, Data Integration, Linux Commands, File Systems, Text Mining, Data Transformation, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Java, C++ (Programming Language)
状态：免费试用您将获得的技能: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Apache, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, IntelliJ IDEA, Application Deployment, Enterprise Application Management
状态：免费试用您将获得的技能: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
状态：新状态：免费试用您将获得的技能: Apache Hadoop, Apache Hive, Big Data, Database Design, Extensible Markup Language (XML), Databases, JSON, Data Processing, Data Warehousing, Distributed Computing, Data Analysis, Scalability, Case Studies, Analytics, Data Pipelines, Query Languages, Social Media, Data Cleansing, Data Integration, Social Media Content
状态：免费试用您将获得的技能: 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：新状态：免费试用您将获得的技能: Apache Hadoop, Apache Hive, Extract, Transform, Load, Data Pipelines, Data Import/Export, Data Migration, Data Integration, MySQL, SQL, Relational Databases, Data Processing, Data Validation
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
- Big Data Processing with Hadoop and Spark: University of Pittsburgh
- Big Data Processing Using Hadoop: Johns Hopkins University
- NoSQL、大数据和 Spark 基础: IBM
- Apply and Analyze Sqoop for Hadoop ETL: EDUCBA
- Apache Avro & Kafka Data Engineering Projects: EDUCBA
- Hadoop and Spark Fundamentals: Pearson
- Big Data Foundations with Hadoop and Spark: Packt
- Spark and Python for Big Data with PySpark: EDUCBA
- Hadoop Big Data Analytics & Projects Mastery: EDUCBA
