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Michael Bender, Reza Salehi, and Marcelo Pastorino

In a world increasingly dominated by data, it’s more important than ever for data engineers and scientists to build data pipeline solutions that can support both traditional data warehouses and today’s machine learning and AI solutions.This path covers everything you need to know about building reliable, fast, and cost-effective data pipelines in Microsoft Azure so those consuming data in your organization always have meaningful and actionable information.

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In a world increasingly dominated by data, it’s more important than ever for data engineers and scientists to build data pipeline solutions that can support both traditional data warehouses and today’s machine learning and AI solutions.This path covers everything you need to know about building reliable, fast, and cost-effective data pipelines in Microsoft Azure so those consuming data in your organization always have meaningful and actionable information.

What You'll Learn

  • How to use tools like Azure Databricks and HDInsight Kafka to implement data pipeline solutions
  • How to use Azure Stream Analytics to process and visualize live data
  • How to implement scalable and accurate batch processing in Microsoft Azure
  • How to use Azure Data Factory to construct ETL processes and data integration pipelines
  • Enroll now

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    What's inside

    Three courses

    Implementing an Azure Databricks Environment in Microsoft Azure

    (2 hours)
    Everyday we have more data, and the problem is how do we get to where we can use the data. Learn how Azure Databricks helps solve those data problems with a robust analytics platform for bringing your data together for data engineers and scientists.

    Building Streaming Data Pipelines in Microsoft Azure

    (3 hours)
    Do you need to process live data streams from sensors, custom apps, IoT devices, and logs? Azure Stream Analytics is for you.

    Integrating Data in Microsoft Azure

    (2 hours)
    With over 2.5 quintillion bytes of data generated each day, you need modern tools to efficiently use and analyze data. This course teaches you how to leverage Azure to create data integration pipelines in the cloud.

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