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.
24credentials
63courses

Results for "dataflow"

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Electronics Engineering, Hardware Design, Electronic Hardware, Computer Engineering, Verification And Validation, Computational Logic, Simulation and Simulation Software, Design Software, Integrated Development Environments, Schematic Diagrams, Simulations, Dataflow, Development Environment

  • Status: Free Trial

    Skills you'll gain: Process Flow Diagrams, Business Process Modeling, Data Modeling, Microsoft Visio, Business Process, Business Analysis, Process Mapping, Dataflow

  • Status: Preview

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

  • Status: Free Trial

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Middleware, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science

  • Status: Free Trial

    Skills you'll gain: Real Time Data, Google Cloud Platform, Data Import/Export, Dataflow, Data Pipelines, Looker (Software), PySpark, Data Lakes, Data Warehousing, Tensorflow, Apache Spark, Dashboard, Big Data, Cloud Infrastructure, Data Infrastructure, Unstructured Data, Feature Engineering, Applied Machine Learning, Data Processing, Data Architecture

  • Status: Free Trial

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

  • Status: Free Trial

    University of Washington

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Data Presentation, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Predictive Analytics, Statistical Modeling, R Programming, Data Analysis, SQL, Predictive Modeling, Data Processing, Python Programming

  • 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: Free Trial

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Big Data, Apache Spark, Apache Hadoop, Cloud Storage

  • Status: Preview

    Skills you'll gain: Google Cloud Platform, Data Migration, NoSQL, Database Architecture and Administration, Cloud Storage, Relational Databases, SQL, Terraform, Dataflow, Cloud Computing Architecture, Distributed Computing, Performance Tuning, Scalability, Application Development

  • Status: Free Trial

    Skills you'll gain: Dataflow, Tensorflow, Data Pipelines, Google Cloud Platform, Data Import/Export, Feature Engineering, Real Time Data, Unstructured Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Big Data, Data Warehousing, Data Management, MLOps (Machine Learning Operations), Data Infrastructure, Cloud Engineering, Cloud Storage, PySpark