Data Warehousing for Data Engineers

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Data warehouses are essential for data engineers and organizations handling large volumes of data. This course, Data Warehousing for Data Engineers, delves into the critical concepts of data warehouses and demonstrates how to implement solutions using three leading platforms.

Data warehouses play a pivotal role in effective data management and analytics.

Mastering their functionality is crucial for data engineers and organizations managing substantial data sets. Within this course, you’ll gain an in-depth understanding of the main concepts of data warehouses, complemented by practical examples.

Initially, you’ll explore the basics of data warehousing, including their purpose within decision support systems and business intelligence.

Following that, the course will cover the core components of data warehousing design and architecture, including insights on big data and cloud-based data warehouses. Finally, you’ll examine the top data warehouse platforms and review a practical comparison of a data warehouse setup using Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse Analytics.

Upon completion of this course, you’ll possess the skills and knowledge to understand and implement data warehouse solutions on the leading platforms offered by Amazon, Google, and Microsoft.

University:

Pluralsight

Provider:

Pluralsight

Categories:

Data Warehousing, Data Engineering

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