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, Extract, Transform, Load, Unit Testing, Containerization, File I/O

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

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

  • Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Serverless Computing, Performance Tuning, Google Cloud Platform, Data Processing, Real Time Data, Scalability, Business Logic, Data Transformation, File I/O, Analytics, Data Import/Export, Jupyter

  • 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: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Site Reliability Engineering, Code Reusability, Data Integrity, CI/CD, Serverless Computing, Data Processing, Event Monitoring, Continuous Deployment, Unit Testing, Performance Tuning, Scalability, Disaster Recovery

  • Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Continuous Deployment, Data Integrity, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Cloud Deployment, Disaster Recovery

  • Skills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, Data Integrity, CI/CD, Performance Tuning, Data Processing, System Monitoring, Serverless Computing, Event Monitoring, Unit Testing, Disaster Recovery, Application Deployment, Integration Testing

  • Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Data Processing, Google Cloud Platform, Serverless Computing, Real Time Data, Business Logic, Performance Tuning, File I/O, Prototyping, Data Transformation, Analytics, Data Import/Export, Jupyter

  • Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Data Processing, Cloud Security, Data Security, Data Access, Cloud Storage, Google Cloud Platform, Role-Based Access Control (RBAC), Interoperability, Containerization, Scalability

  • Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, Business Logic, Performance Tuning, Pandas (Python Package), Data Transformation, Development Environment, Data Import/Export, Program Development, Google Cloud Platform

  • From the course: GCP: Database, Storage, and Networking·Lesson: Database and Storage