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  • Spark

Spark 课程

Spark 课程可以帮助您学习数据处理、实时解析、机器学习集成和 Big Data 管理。您可以掌握分布式计算、数据 Visualization 和优化大型数据集性能方面的技能。许多课程都会介绍 Apache Spark、Scala 和 Python 等工具,展示如何利用这些技术高效处理海量数据并支持 AI 应用。

热门 Spark 课程和认证


  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Español

    您将获得的技能: Metadata Management, Data Pipelines, Google Cloud Platform, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Data Processing, Data Import/Export, Data Migration, Apache Airflow, Data Storage, Apache Spark, Big Data, Data Management, Data Transformation, Serverless Computing

    初级 · 课程 · 1-3 个月

  • C

    Coursera

    Orchestrate & Recover Real-Time Data Pipelines

    您将获得的技能: Data Pipelines, Apache Airflow, Dataflow, Site Reliability Engineering, Disaster Recovery, Apache Kafka, Data Integrity, Data Infrastructure, Workflow Management, Real Time Data, Data Processing, Apache Spark

    中级 · 课程 · 1-4 周

  • E

    Edureka

    Lakehouse Architecture and Delta Lake with Databricks

    您将获得的技能: Transaction Processing, Data Lakes, Data Architecture, Databricks, Data Infrastructure, Data Pipelines, Data Warehousing, Data Integration, Apache Spark, Data Processing, Real Time Data, Big Data, Scalability, Performance Tuning, Data Quality, Data Storage Technologies, SQL

    中级 · 课程 · 1-4 周

  • P

    Pearson

    Google BigQuery for Data and ML Engineers

    您将获得的技能: Data Pipelines, Data Warehousing, SQL, Data Integration, Google Cloud Platform, Data Processing, Data Quality, Data Validation, Apache Spark, Generative AI, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Time Series Analysis and Forecasting, Classification Algorithms

    中级 · 课程 · 1-4 周

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning

    初级 · 专项课程 · 1-3 个月

  • W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    您将获得的技能: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    中级 · 课程 · 1-4 周

  • P

    Packt

    Ultimate AWS Data Engineering Bootcamp - 15 Real-World Labs

    您将获得的技能: Cloud Engineering, Data Transformation

    中级 · 课程 · 3-6 个月

  • P

    Packt

    Databricks ML in Action

    您将获得的技能: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence

    中级 · 课程 · 1-3 个月

  • G

    Google Cloud

    Einführung in Data Engineering in Google Cloud

    您将获得的技能: Metadata Management, Extract, Transform, Load, Data Pipelines, Google Cloud Platform, Data Migration, Apache Spark, Data Processing, Data Import/Export, Big Data, Data Integration, Data Storage Technologies, Data Lakes, Cloud Storage, Data Storage, Data Management, Data Transformation, Automation, Serverless Computing, Event-Driven Programming

    初级 · 课程 · 1-3 个月

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Bahasa Indonesia

    您将获得的技能: Metadata Management, Data Pipelines, Data Migration, Google Cloud Platform, Extract, Transform, Load, Data Lakes, Data Import/Export, Data Infrastructure, Big Data, Apache Airflow, Data Integration, Data Management, Apache Spark, Cloud Storage, Data Transformation, Automation, Serverless Computing

    初级 · 课程 · 1-3 个月

  • P

    Packt

    Orchestrating Data Pipelines and Advanced Data Strategies

    您将获得的技能: Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Engineering, Data Visualization Software, Cloud Storage, Data Import/Export, Dashboard Creation, Data Strategy, Data Integration, Real Time Data, Data Storage, Data Validation

    中级 · 课程 · 1-3 个月

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Français

    您将获得的技能: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Data Infrastructure, Big Data, Data Integration, Apache Airflow, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Storage, Data Transformation, Apache Spark, Serverless Computing

    初级 · 课程 · 1-3 个月

1…202122…23

总之,以下是 10 最受欢迎的 spark 课程

  • Introduction to Data Engineering on Google Cloud - Español: Google Cloud
  • Orchestrate & Recover Real-Time Data Pipelines: Coursera
  • Lakehouse Architecture and Delta Lake with Databricks: Edureka
  • Google BigQuery for Data and ML Engineers: Pearson
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Ultimate AWS Data Engineering Bootcamp - 15 Real-World Labs: Packt
  • Databricks ML in Action: Packt
  • Einführung in Data Engineering in Google Cloud: Google Cloud
  • Introduction to Data Engineering on Google Cloud - Bahasa Indonesia: Google Cloud

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