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Data Science on Google Cloud Platform: Designing Data Warehouses

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Created by: Kumaran Ponnambalam

Produced in 2018

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Course Description

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.

Intermediate Level

Time: 1h

Instructor Details

Kumaran Ponnambalam

Kumaran Ponnambalam has been working with data for more than 20 years.

He has built enterprise and cloud applications that ingest data to produce meaningful insights for its consumers. Data has always intrigued Kumaran and he has always searched for ways to mine, manage, and master it. Using analytics to solve business problems is his key interest domain. Of late, he has taken a keen interest in building quality courses for people to understand and use data. Big data analytics is fast growing, but quality education, especially in application areas, is lacking and he wants to contribute to it.