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"

  • Google Cloud

    Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Site Reliability Engineering, Cloud Security, Data Integrity, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Cloud Storage, Extract, Transform, Load, Unit Testing, Containerization, File I/O

    4 stars, 133 reviews, Intermediate, Specialization, 3 - 6 Months

  • Google Cloud

    Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, Extract, Transform, Load, File I/O, Data Transformation, Jupyter, SQL

    4 stars, 44 reviews, Advanced, Course, 1 - 3 Months

  • Google Cloud

    Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages, Cloud Storage

    4.5 stars, 15 reviews, Intermediate, Project, Less Than 2 Hours

  • Coursera

    Skills you'll gain: Data Flow Diagrams (DFDs), Diagram Design, Data Mapping, Data Literacy, Software Design Documents, Data Pipelines, Data Visualization, Dataflow, Technical Communication, Data Store, Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Serverless Computing, Performance Tuning, Google Cloud Platform, Data Processing, Real Time Data, Scalability, Business Logic, Data Transformation, File I/O, Analytics, Data Import/Export, Jupyter

    Advanced · Course · 1 - 3 Months

  • IBM

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Data Ethics, Feature Engineering, Data Preprocessing, Data Governance, Extract, Transform, Load, Enterprise Architecture, Solution Architecture, Dataflow, AI Security, Model Evaluation, AI Workflows, Data Processing, Data Integrity, Data Quality, Operational Databases, Data Store, Software Documentation, Dependency Analysis

    Intermediate · Professional Certificate · 3 - 6 Months

  • Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Tensorflow, Big Data, Extract, Transform, Load, Apache Hadoop, Apache Spark, Real Time Data, Data Processing, Data Integration, Unstructured Data, Dashboard Creation, Data Warehousing, Metadata Management, Applied Machine Learning, Data Architecture, Data Migration

    4.7 stars, 815 reviews, Intermediate, Specialization, 3 - 6 Months

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Data Import/Export, Feature Engineering, Data Lakes, Model Deployment, Real Time Data, Dashboard Creation, Apache Kafka, Tensorflow, Data Governance, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data, Extract, Transform, Load, Unstructured Data

    4.3 stars, 82 reviews, Intermediate, Specialization, 3 - 6 Months

  • Google Cloud

    Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Data Processing, Cloud Security, Identity and Access Management, Data Security, Authorization (Computing), Security Controls, Role-Based Access Control (RBAC), Google Cloud Platform, Data Transformation, Containerization, Data Storage Technologies, Scalability

    Intermediate · Course · 1 - 3 Months

  • Google Cloud

    Skills you'll gain: Model Deployment, Data Pipelines, Real Time Data, Google Cloud Platform, Dataflow, Data Warehousing, Dashboard Creation, Data Preprocessing, Data Governance, Tensorflow, Big Data, Feature Engineering, Data Lakes, Dashboard, Extract, Transform, Load, Apache Spark, Metadata Management, Apache Hadoop, MLOps (Machine Learning Operations), Data Management

    4.7 stars, 126 reviews, Intermediate, Specialization, 3 - 6 Months

  • Google Cloud

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Data Processing, Real Time Data, Serverless Computing, Data Transformation, Data Import/Export, File I/O, Scalability, Development Environment, Jupyter

    Advanced · Course · 1 - 3 Months

  • Google Cloud

    Skills you'll gain: Model Deployment, Dataflow, Data Pipelines, Dashboard Creation, Google Cloud Platform, Data Lakes, Real Time Data, PySpark, Dashboard, Apache Kafka, Tensorflow, Data Governance, Apache Spark, Data Import/Export, Data Warehousing, Data Processing, Extract, Transform, Load, Unstructured Data, Big Data, Operational Databases

    4.4 stars, 58 reviews, Intermediate, Specialization, 3 - 6 Months