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: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Machine Learning Methods, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Transaction Processing, Data Access, Dataflow, Database Management, Stored Procedure, SQL, Object-Relational Mapping, Data Integrity, Data Import/Export, Databases, Secure Coding, File Systems

  • 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

  • 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, Data Pipelines, Google Cloud Platform, Real Time Data, Big Data, Applied Machine Learning, Extract, Transform, Load, Data Processing, Serverless Computing, SQL, Scalability, Performance Tuning

  • Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Google Cloud Platform, Data Processing, Big Data, Analytics, SQL, Scalability, 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

  • 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: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Pipelines, Data Strategy, Supervised Learning, Machine Learning Algorithms, Performance Tuning, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Data Transformation, Artificial Neural Networks, Data Processing

  • Status: Free Trial

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

  • Skills you'll gain: Dataflow, Data Validation, Google Cloud Platform, Data Import/Export, Data Infrastructure, Database Development, Big Data, Cloud Storage

  • Skills you'll gain: Reconciliation, Dataflow, Google Cloud Platform, Big Data, Financial Data, Data Pipelines, Data Integration, Event Monitoring