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"

  • Skills you'll gain: Data Mapping, Microsoft Azure, Data Transformation, Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Data Integration, Data Storage

  • 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: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Database Management, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

  • Status: Preview

    Skills you'll gain: Business Workflow Analysis, Workflow Management, Process Improvement, Business Systems Analysis, Project Scoping, Process Management, Business Analysis, Service Design, System Design and Implementation, Business Management, Dataflow, Stakeholder Engagement, Stakeholder Communications

  • Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Infrastructure, Data Processing, Dataflow, Data Management, Data Architecture, Scalability

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Data Processing, Dataflow, Application Deployment, Data Analysis, Deep Learning, Artificial Neural Networks

  • Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration

  • Status: Preview

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

  • Skills you'll gain: Dataflow, Google Cloud Platform, NoSQL, Cloud Storage, Data Pipelines, Data Integration, Data Storage Technologies, Data Processing, Big Data, Data Validation

  • 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

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