Looker Documentation | Step by Step Guide to Learn LookML
What is a looker?
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.
Finding and organizing the content:
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.
Organizing the content:
- Using Folders to Organize : Discover how to move, copy, and delete items within folders.
- Using Boards to Present Content : Create boards that display curated sets of Looks and dashboards for your various teams.
- Deleted and Unused Content for Administrators: Discover how you, as an administrator, can clean up deleted and unused content.
Sending and sharing the content:
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.
- Data Sharing: Learn how to share Looker data with others.
- Data Sharing via URLs: Share data via browser, short, or expanded URLs.
- Downloading Content: Download and format data or visualizations from Looks and Explores.
- Public Sharing, Importing, and Embedding of Looks : Provide public access to data via URLs, embedding, or spreadsheet placement.
Retrieving the data and turning into charts:
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.
- Exploring data in Looker : Discover how to use Looker to build queries, display results, and discover insights.
- Filtering and limiting data: Limit your results to the information you’re looking for.
- Merging Explore results: Combine information from multiple queries.
- Looker filter expressions: Discover the patterns of Looker’s filter expressions.
Customizing the data:
- Using table calculations : Add new fields by calculating the results of your query.
- Adding custom fields: Create new field picker options by adding custom dimensions and measures.
- Creating Looker expressions: Use Looker expressions to perform custom calculations.
- Looker functions and operators: Learn about the functions and operators that are used in Looker expressions.
Creating reports and dashboards:
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.
- Creating and editing the saved reports.
- Creating and editing the saved dashboards.
Looker development environment:
- To unlock Looker’s magic, data experts at each organization describe their data in LookML, a lightweight modeling language. LookML instructs Looker on how to query data, allowing everyone in the organization to create reports and dashboards without having to understand the underlying complexities.
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.
Using the API and Embedding:
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.
- Security Best Practices for Embedded Analytics: When creating embedded content, keep these best practices in mind.
- Looker really does have a lot of lovely features. The accompanying are a few of Looker’s features. Let us go over them.
- Looker helps to reduce costs, effectively manage corporate deployments, and boost efficiency.
- New types of data experiences can be accessed and innovation processes can be sped up by using Looker’s built-in Interactive elements.
- Looker increases revenue growth and improves the product’s competitive advantage at a low cost.
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.