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  • Cloud
  • Data

Building Data Pipelines in Microsoft Azure

4 Courses
9 Hours
Skill IQ

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.

Content in this path

Intermediate

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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
Prerequisites
  • This path is intended for learners who already already are or who want to skill up to become data scientists and data engineers. Learners should already be familiar with fundamental data concepts and the Azure portal.
Related topics
  • Planning Microsoft Azure Data Solutions
  • Monitoring and Managing Microsoft Azure Data Solutions
  • Deploying Microsoft Azure Data Solutions
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