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.
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
What's inside
Three courses
Implementing an Azure Databricks Environment in Microsoft Azure
(2 hours)
Implementing an Azure Databricks Environment in Microsoft Azure
(2 hours)
Building Streaming Data Pipelines in Microsoft Azure
(3 hours)
Building Streaming Data Pipelines in Microsoft Azure
(3 hours)
Integrating Data in Microsoft Azure
(2 hours)
Integrating Data in Microsoft Azure
(2 hours)Save this collection
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