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: Preview

    Skills you'll gain: Multi-Cloud, Data Architecture, Dataflow, Data Management, Regulatory Compliance, Information Architecture, Cloud Management, Data Infrastructure, Data Strategy, AI Product Strategy, Data Science, Data Security, Strategic Planning

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Dataflow, Data Processing, Data Transformation, Keras (Neural Network Library), Data Modeling, Google Cloud Platform, Machine Learning, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Big Data, Data Processing, Advanced Analytics, SQL, Serverless Computing, Performance Tuning, Scalability

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Google Cloud Platform, Big Data, Data Storage Technologies, Analytics, Data Processing, Serverless Computing, Scalability, Cloud Services

  • Status: New
    Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Hybrid Cloud Computing, Data Processing, Big Data, Data Warehousing, Cloud Services, Data Storage, Cloud Infrastructure, Dataflow, Cloud Computing, NoSQL, Databases, Load Balancing, Virtual Private Networks (VPN), Network Security, Virtual Machines, Identity and Access Management

  • Status: New
    Status: Preview

    Skills you'll gain: Google Cloud Platform, Database Administration, Cloud Applications, Database Management, Data Migration, Relational Databases, Database Architecture and Administration, Database Application, Query Languages, Terraform, Cloud Computing Architecture, Server Administration, Dataflow, Performance Tuning

  • Status: Free Trial

    University of Minnesota

    Skills you'll gain: Business Systems Analysis, Systems Analysis, Requirements Analysis, Business Requirements, Business Systems, User Requirements Documents, Process Analysis, Business Process Modeling, Dataflow

  • Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Dashboard, Google Cloud Platform, Data Processing, Data Transformation, Scalability

  • Status: Free Trial

    Skills you'll gain: Dataflow, Java, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Computer Science

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Pipelines, Data Transformation, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Machine Learning, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Real Time Data, Digital Transformation, Looker (Software), Business Intelligence, Data Strategy, Data Transformation, Business Intelligence Software, Google Cloud Platform, Big Data, Analytics, Data Storage, Data Storage Technologies, Dataflow, Data Pipelines, Data Management, Cloud Solutions

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