Looker is a data analytics tool that is rapidly gaining popularity in the business intelligence space. It has become an essential platform, empowering organizations to analyze data and make informed, data-driven decisions.
In this book, we cover the fundamentals required to jumpstart a Looker instance, starting with dashboard creation and LookML development. You will learn to facilitate every step of the process, from administration to development to visualization creation. This guide will help you understand the Looker platform, from basic user functions to advanced development and administration. It is designed to help you become a Looker expert, enabling you to build a powerful data culture within your organization. Once the foundation is set, we explore advanced LookML concepts, including reusable blocks, Liquid customization, and performance tuning, while also diving into the administrative side of Looker.
By the end of this book, you will possess a complete skill set for leveraging Looker. You will be fully equipped to build and manage sophisticated LookML data models, administer the platform securely, integrate it with other services, and confidently create impactful business intelligence solutions for real-world scenarios.
What you will learn
● Develop LookML code, including core, advanced, and derived table concepts.
● Integrate Looker with mobile apps, Google tools, and external applications.
● Administer Looker, manage security, monitor usage, and tune performance effectively.
● Create, customize, and present diverse reports and dashboards effectively.
● Troubleshoot common issues and implement Looker development best practices.
● Automate Looker tasks and integrate programmatically using APIs/SDKs.
Who this book is for
This book is a valuable resource for new and experienced Looker professionals, including business users, report developers, and LookML developers. It is also ideal for data analysts, data engineers, and business intelligence developers who want to build and administer comprehensive Looker solutions.
Table of Contents
1. Getting Started with Looker
2. Creating Reports and Dashboards
3. LookML Development
4. Advanced LookML
5. Beyond Looker
6. Looker Administration
7. Looker Security
8. Troubleshooting, Performance Tuning, and Best Practices
9. Application Programming Interface, Software Development Kit and Embed
10. Looker Project Walkthrough
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Shiva Krishna Neeli is a manager of data engineering at SADA Systems Inc, specializing in business intelligence. He brings extensive experience from his varied roles as a developer, administrator, architect, and manager within business intelligence teams at prominent organizations Tanya Leung is a data engineer at SADA Systems Inc, who has worked extensively with several Google Cloud Platform services, most notably Looker. Prior to SADA Systems, Tanya completed her bachelor of science in computer science from the University of Colorado Boulder in 2020.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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