Last updated on Nov 21, 2023
Looker is a big data analytics platform and business intelligence software that allows you to easily explore, analyze, and share real-time business analytics.
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The Looker platform unleashes the importance of your data, allowing you to deliver impactful insights and create data experiences for every part of your organization. Business executives, data analysts, application developers, data scientists, customers, and business partners are all examples of people who work with data. Looker's capabilities can help anyone who needs data to do their job.
Documentation is very essential for any software or tool to analyze it to fullest. The documentation reveals all the prospects, functionalities, operations and tasks, involved modules in that particular tool.In this looker documentation tutorial we are going to cover all the concepts in depth such as looker features, organizing the content, creating the dashboards, lookML, and explore on how to make it ready for the development, etc.
Next we will go through the complete looker documentation in a more detailed way.
Looker gives you access to the data in your organization. Many users begin by perusing the reports which we call Looks and dashboards created by others in their organization. You will learn how to create content and organize it to meet your needs in this section.
If you want to Explore more about Looker? then read our updated article - Looker Tutorial
One of Looker's benefits is the variety of ways you can send and share content with colleagues and others outside your organization. You will learn how to send and share content in this section.
Many users want to take the next step after learning how to browse through other people's reports and dashboards and learn how to query data for themselves. This enables them to use their organization's data for their own purposes.
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Related Article: Looker Data Visualization
Many users want to learn how to create and edit their own reports which we call Looks and dashboards after learning how to query and chart data. This enables them to organize and present data in a logical and cohesive manner.
Related Article: Looker Analytics
When a data modeler has mastered the fundamentals of creating projects and developing in Looker, it is time to write LookML! The flexibility of LookML allows developers to work with their organization's data and create custom experiences for Looker users.
As part of LookML you need to learn the basic and advanced concepts such as lookML, content validation, looker blocks, working with joins, reusing the code with extends, localizing your LookML model, etc.
Looker can be obtained in ways other than through the application. You can also use Looker through the API or embed Looker content in websites, both publicly and privately, if you have the necessary permissions.
In the looker AP section you will explore the looker API, Looker APi authentication, Looker API troubleshooting, exploring on how to embed the looker content into web pages considerably.
Related Article: Looker Features
Looker offers the possibility of having Looker host your instance or hosting it yourself. A Looker Sales Engineer or Professional Services consultant will assist you with the setup process.
There are also numerous settings that will assist you in administering your Looker instance. These options include options for customizing Looker for your organization, configuring authentication for users and groups, controlling user and group access to data and Looker features, and monitoring Looker usage and health.
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Related Article: Looker Data Actions
In the above blog post all points are explained with neat subheadings. Wants to get immense knowledge on the looker. Please go ahead with this looker documentation first that helps you to gain decent knowledge. Had any doubts drop your comments below, our experts will get back to you shortly.
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As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.
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