Discover the pivotal role of data lakes and data warehouses in modern data pipelines with the "Modernizing Data Lakes and Data Warehouses with Google Cloud" course. This comprehensive offering from Google Cloud delves into the technical intricacies of data engineering, providing a deep understanding of the available solutions on Google Cloud. The course emphasizes the significance of a successful data pipeline in enhancing business operations and elucidates the advantages of cloud-based data engineering over traditional methods.
Embark on a journey to comprehend the intricacies of modernizing data lakes and data warehouses, and gain valuable insights that can revolutionize your approach to data engineering.
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The course encompasses a series introduction, an exploration of data engineering, building a data lake, constructing a data warehouse, and a comprehensive summary of the key learnings.
The course series introduction sets the stage for the exploration of data engineering, providing a brief overview of the essential concepts and the significance of modernizing data lakes and data warehouses.
Delve into the fundamentals of data engineering, understanding the pivotal role of a data engineer, navigating through data engineering challenges, and exploring BigQuery as a powerful tool for data analysis and management on Google Cloud.
Embark on a journey to build a robust data lake by exploring different data storage and ETL options on Google Cloud, leveraging Cloud Storage and Cloud SQL, and gaining hands-on experience through practical labs and demonstrations.
Explore the modern data warehouse landscape, delve into the capabilities of BigQuery, and learn to design optimal schemas, work with JSON and array data, and optimize performance through partitioning and clustering.
Conclude the course with a comprehensive summary, encapsulating the key takeaways and learnings from the exploration of modernizing data lakes and data warehouses with Google Cloud.
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