Dataflow

Dataflow is a programming model used for processing large volumes of data. Coursera's Dataflow skill catalogue teaches you about the design and implementation of data pipelines that enable efficient, reliable, distributed data processing. You'll learn about the concepts of parallel processing, windowing, and watermarks in data streaming. You'll also gain insights on how to effectively manage and transform immutable collections of data, understand event time and processing time, and design scalable real-time data processing architectures. This knowledge is beneficial to data engineers, data scientists, and anyone looking to enhance their skills in handling vast quantities of data in real-time scenarios.
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Results for "dataflow"

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Issue Tracking, Unit Testing, Disaster Recovery

  • Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing

  • Status: Preview

    Skills you'll gain: Data Pipelines, Dataflow, Real Time Data, Data Processing, Jupyter, Performance Tuning, Business Logic, Data Transformation

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Google Cloud Platform, Data Transformation, Jupyter, SQL, Analytics, Cloud Storage

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Jupyter, Google Cloud Platform, JSON, Application Programming Interface (API), SQL, Analytics

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Data Integrity, Performance Tuning, System Monitoring, CI/CD, Unit Testing, Data Processing, Google Cloud Platform, Disaster Recovery, Integration Testing

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Operational Databases, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Maintainability, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery

  • Status: Preview

    Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Data Processing, Data Security, Cloud Storage, Google Cloud Platform, Containerization, Scalability

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Cloud Engineering, Data Lakes, Big Data, Dashboard, Cloud Infrastructure, Data Infrastructure, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Processing, Cloud Storage, Unstructured Data, Data Visualization Software, Data Storage, Apache Hive, Tensorflow

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Apache Airflow, Cloud Storage, Big Data, Tensorflow, Unstructured Data

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, Data Warehousing, Real Time Data, Data Processing, Unstructured Data, Cloud Infrastructure, Data Infrastructure, Data Architecture, Apache Airflow, Extract, Transform, Load, Tensorflow, Cloud Storage, Serverless Computing, MLOps (Machine Learning Operations), Big Data, Data Transformation, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Warehousing, Cloud Engineering, Real Time Data, Data Lakes, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Big Data, Cloud Infrastructure, Data Infrastructure, Extract, Transform, Load, Data Visualization, Applied Machine Learning, Cloud Storage, Dashboard, Data Presentation, Data Architecture

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