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: 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 Modeling, Data Lakes, Data Integration, Power BI, Data Manipulation, Dataflow, Data Mapping, Data Infrastructure, Data Pipelines, Data Warehousing, Extract, Transform, Load, Star Schema, Data Cleansing, Microsoft Power Platform, Database Design, Data Quality, Data Wrangling, Data Processing, Data Transformation, Business Reporting

  • Status: New

    Skills you'll gain: Enterprise Architecture, Solution Architecture, Dataflow, Data Pipelines, Data Processing, AI Workflows, Data Quality, Data Governance, Text Mining, AI Integrations, Data Capture, Operational Databases, Data Integrity, Data Store, Site Reliability Engineering, Database Systems, Requirements Analysis, Database Development, Software Documentation, Dependency Analysis

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

  • Status: New

    Skills you'll gain: Data Lakes, Data Analysis Expressions (DAX), Data Warehousing, Data Pipelines, Data Architecture, Microsoft Azure, Azure DevOps, Star Schema, Dataflow, Interviewing Skills, Extract, Transform, Load, Azure DevOps Pipelines, Professional Development, Dependency Analysis, Power BI, Transaction Processing, Microsoft Power Platform, Transact-SQL, PySpark, Web Presence

  • 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: Data Pipelines, Dataflow, Google Cloud Platform, Development Environment, Cloud Development, Cloud Services, Program Development, Software Installation

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

  • 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