Data Pipelines

Data Pipelines are a series of data processing steps where the output of one step is the input to the next. Coursera's Data Pipelines skill catalogue teaches you how to design, build, and manage these processes for efficiently moving and transforming data from one system to another. You'll learn about different data pipeline architectures, the use of various tools and technologies such as SQL, Python, Apache Kafka, and Hadoop. You'll also understand how to handle real-time data processing, batch processing, data orchestration, and error handling within a pipeline. This skill is integral for roles like data engineers or data scientists, and anyone looking to manage large volumes of data effectively.
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Results for "data pipelines"

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability, Command-Line Interface

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Modeling, Data Processing, System Requirements, Performance Tuning, Security Controls, Data Transformation, Scalability

  • Status: New
    Status: Preview

    Skills you'll gain: Data Integration, Extract, Transform, Load, Metadata Management, Amazon Redshift, Amazon Web Services, Data Pipelines, Data Warehousing, Amazon S3, Automation, Cloud-Native Computing, Data Transformation, Serverless Computing, Process Optimization, System Monitoring

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Data Lakes, Extract, Transform, Load, Data Warehousing, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

  • Status: New
    Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Metadata Management, Data Integration, Data Pipelines, Databases, Business Logic, Java, Data Warehousing, File Management, Data Cleansing, Data Import/Export, Data Migration, Data Manipulation, Scalability, Data Transformation, Software Documentation, Software Installation, Data Processing, MySQL, Debugging

What brings you to Coursera today?

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Extract, Transform, Load, Apache Airflow, Google Cloud Platform, Data Integration, Data Migration, Data Processing, Apache Hadoop, Serverless Computing, Apache Spark, Big Data, Data Transformation

  • Status: Free Trial

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Databases, Data Warehousing, Database Systems, Data Pipelines, Business Intelligence, Data Integrity, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, SQL, Performance Testing

  • Status: New

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Data Processing, Serverless Computing, Real Time Data, Performance Tuning, Jupyter, SQL

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, Feature Engineering, Data Integration, Data Transformation, Data Sharing, Data Management, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Matplotlib, Kubernetes, Dashboard, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

  • Skills you'll gain: Apache Kafka, Data Pipelines, Google Cloud Platform, Java, Public Cloud, Cloud API, Network Analysis

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a £62,784 median salary ¹.

    description:

    A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.

    This role has a £62,784 median salary ¹.

    Offered by

    DeepLearning.AI_logo
    Amazon Web Services_logo
    Google Cloud_logo
  • This role has a £52,272 median salary ¹.

    description:

    A Data Warehouse Developer designs and optimizes data warehouses, ensuring efficient storage and retrieval for analytics using ETL processes.

    This role has a £52,272 median salary ¹.

    Offered by

    IBM_logo
    Vanderbilt University_logo

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