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: New

    Skills you'll gain: Data Migration, Database Management, Relational Databases, Google Cloud Platform, Database Architecture and Administration, Databases, Dataflow, Query Languages, Database Design, Cloud Applications, Terraform, Scalability, Transaction Processing, System Monitoring

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

  • Skills you'll gain: Data Validation, Google Cloud Platform, PostgreSQL, Data Import/Export, Data Maintenance, Data Pipelines, Dataflow, Data Migration

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Big Data, Data Processing, Advanced Analytics, SQL, Serverless Computing, Performance Tuning, Scalability

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

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

  • Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Dashboard, Google Cloud Platform, Data Processing, Data Transformation, Scalability

  • Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Dataflow, Mathematical Theory & Analysis, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Communication

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

  • Status: Free Trial

    Skills you'll gain: Shell Script, Bash (Scripting Language), User Accounts, Linux Administration, Linux, Operating System Administration, File Systems, Performance Tuning, Systems Administration, Scripting, File Management, Scripting Languages, Unix Commands, Data Storage, Command-Line Interface, Operating Systems, System Monitoring, Dataflow

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Data Transformation, Data Pipelines, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Data Modeling, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

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