Mastering Looker Blocks for Data Analysis on Google Cloud
- Authors
- Published on
- Published on
Today on Google Cloud Tech, we dive into the world of Looker and Looker Studio with the one and only Jeremy, a senior developer relations engineer. Looker blocks are like pre-built models on steroids, packed with everything you need for data analysis: measures, dimensions, explores, views, and dashboards, all powered by LookML. Imagine having the Google Analytics Looker block at your fingertips, effortlessly modeling traffic behavior and audience metrics. Or the Google Cloud cost management block, helping you navigate billing data and spending recommendations with ease. And let's not forget about service-specific Looker blocks, tailor-made for your unique data analysis needs.
But how do you go from zero to hero with Looker blocks? It's all about installing, extending, and even developing these powerful tools. First, configure your data source and database connection, then import the block's LookML project into your own. Want to take it up a notch? Extend the block's data model by adding new measures or explores to suit your stakeholders' needs. And if you're feeling adventurous, why not develop your very own Looker block? With a few extra requirements like Manifest, views, explorers, and dashboards, along with a Marketplace JSON, license file, and a handy readme, you'll be on your way to creating a data analysis masterpiece.
As you embark on your Looker block journey, consider trying out some top picks like the Google Analytics block for unrivaled customer behavior insights. Or the Cloud cost management block for a deep dive into your Google Cloud spending habits. And let's not overlook the BigQuery performance monitoring block, shedding light on your organization's BigQuery usage for optimization. Ready to get your hands dirty? Install the Cloud cost management block in your Looker instance, extend its model, and check out the blocks developer documentation for a crash course in creating your very own data analysis marvel. Stay tuned for more exciting ways to level up your Looker game on Google Cloud Tech!
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch How to develop with Looker Blocks on Youtube
Viewer Reactions for How to develop with Looker Blocks
Interesting insights on cloud technology
Great content, very informative
Looking forward to more videos from this channel
Helpful tips and tricks for using Google Cloud
Love the tutorials and walkthroughs
Clear explanations, easy to follow
Would like to see more real-world examples
Keep up the good work!
Informative for beginners and experts alike
Excited to learn more about Google Cloud
Related Articles
Etsy's Revenue Growth: Leveraging Google Cloud for Innovative Infrastructure
Explore how Etsy leverages Google Cloud's flexible infrastructure to support its rapid revenue growth since 2019. Learn about Etsy's innovative service platform, the ESP command line tool, and their strategic choice of Cloud Run for seamless service deployment.
Conversational Agents vs. Non-Conversational Agents: Exploring Capabilities
Explore the differences between conversational agents and non-conversational agents. Learn about their capabilities, including prompt templates, state management, and the importance of metadata for functions. Discover how these components work together using a pet care conversational agent example.
Mastering Data Analysis: Looker vs Looker Studio Integration
Explore the powerful data analysis tools Looker and Looker Studio in this blog. Discover how Looker excels in data governance and semantic modeling, while Looker Studio offers flexible reporting and visualization capabilities. Learn how the integration of these tools enhances data insights and decision-making.
Mastering Agentic AI: Agents vs. Workflows Explained
Google Cloud Tech explores agentic concepts in AI, distinguishing AI agents from workflows. Learn when to use each and find practical examples on GitHub.