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: 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, Unit Testing, Containerization, File I/O, Data Transformation

  • Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, File I/O, Data Transformation, Jupyter, Distributed Computing, SQL

  • Status: New

    Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Architecture, Star Schema, Microsoft Azure, Dataflow, Extract, Transform, Load, Dependency Analysis, Transaction Processing, Transact-SQL, Change Control, PySpark, Capacity Management, Information Management, Microsoft Power Platform, Data Quality, Apache Spark, Power BI, Operational Databases

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

  • Status: New

    Skills you'll gain: Data Pipelines, Dataflow, PySpark, Data Lakes, Microsoft Power Platform, Extract, Transform, Load, Data Quality, Apache Spark, Data Processing, Data Transformation, Data Manipulation, Data Architecture, Data Governance, Generative AI, Data Validation, AI Workflows, Data Import/Export, Cloud Storage, Debugging

  • Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Real Time Data, Data Processing, Identity and Access Management, Debugging, Google Cloud Platform, Data Access, Data Security, System Monitoring, Site Reliability Engineering, Containerization, Code Reusability, Data Integrity, CI/CD, Cloud Platforms, Data Transformation, Event Monitoring, File I/O

  • Skills you'll gain: Dataflow, Data Pipelines, Site Reliability Engineering, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Unit Testing, Application Deployment, Disaster Recovery

  • Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Command-Line Interface, Google Cloud Platform, Data Store, Databases, Data Processing

  • Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Development Environment, Cloud Development, Cloud Services, Program Development, Software Installation

  • Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Cloud-Based Integration, Cloud Storage, Data Persistence

  • Status: New

    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

  • Status: New

    Skills you'll gain: Data Lakes, Dependency Analysis, Data Architecture, Change Control, Data Warehousing, Capacity Management, Data Pipelines, Software As A Service, Virtualization, Transact-SQL, Data Integration, Dataflow