Optimizing Performance of LookML Queries

Google Cloud, located in Toronto, North America, offers you a unique blend of academic and professional opportunities. As a institution founded in 2008, it provides a fresh perspective on education. You will find advantages in its strong focus on computing, data storage, and machine learning, making it an ideal choice for students interested in these fields. Its client base spans various industries, including financial services, healthcare, retail, and education, providing you with a broad range of potential collaborations and career paths.

Specifically, Google Cloud focuses on services like computing, data analytics, and machine learning, with tools such as Google Cloud Platform (GCP) and Google Workspace. You can choose from 723 programs, which cover a broad spectrum of subjects. Key languages and technologies are taught, preparing you for a career in these in-demand fields. For instance, you can develop skills in Gmail, Docs, Drive, and Calendar, making you proficient in Google's suite of productivity tools.

In Toronto, you will find a unique city benefit - a diverse and thriving metropolis with many opportunities for internships, collaborations, and networking. You can take advantage of the city's active startup scene, with many companies using Google Cloud services. On campus, you can engage with a community of 30,000 students, including many international students, creating a dynamic and global learning environment. Opportunities for you include accessing modern labs, and participating in active student clubs, making your time at Google Cloud a rich and rewarding experience.

This program is for individuals who want to optimize LookML query performance in Looker, a modern data platform. It's a non-degree program that takes place over several weeks, and it's taught in English. The main advantage of this program is that it helps you learn the best methods to improve query performance.

The curriculum focuses on specific skills like creating persistent derived tables, aggregate awareness, and performantly joining views. You'll learn how to avoid re-running massive queries and reduce repetitive requests to your database. This program also covers how to integrate insights across different data sources and build actionable data-driven workflows.

After completing this program, you can pursue careers like Data Analyst, Business Intelligence Developer, Data Scientist, or Data Engineer. You can work in various industries, including finance, healthcare, or technology, and potential employers may include companies that use Google Cloud and Looker, such as consulting firms or research institutions.