Data Science on Google Cloud Platform: Designing Data Warehouses
With Kumaran Ponnambalam
Liked by 948 users
Duration: 1h
Skill level: Intermediate
Released: 9/7/2018
Course details
Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise in the major platforms, such as Google Cloud Platform (GCP), is essential to the IT professional. This course—one of a series by veteran cloud engineering specialist and data scientist Kumaran Ponnambalam—shows how to design and build data warehouses using GCP. Explore the different types of storage options available in GCP for files, relational data, documents, and big data, including Cloud SQL, Cloud Bigtable, and Cloud BigQuery. Then learn how to use one solution, BigQuery, to perform data storage and query operations, and review advanced use cases, such as working with partition tables and external data sources. Finally, learn best practices for table design, storage and query optimization, and monitoring of data warehouses in BigQuery.
Skills you’ll gain
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Purnangshu Roy
Purnangshu Roy
Management Information Systems Manager @ Narayani sons India Pvt ltd | MBA, Finance
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Siddharth B.
Siddharth B.
Expert in Driving Revenue Growth through Innovative Marketing Solutions & Data-Driven solution
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Tejas Warvante
Tejas Warvante
Aspiring Python Developer | Machine Learning | Enthusiastic | Learner | CSE'24|
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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