The Implementation Methodology is based upon Enterprise Project Methodology with special attention to the capabilities that Looker BI software provides for complex and/or data intensive applications and systems. This methodology has been built on various experiences utilizing Looker BI software. Just as the functionality of Looker BI software is ever expanding in meeting (and often exceeding) market need, so too does Looker BI methodology.

Looker BI Online Training Course Content

• Looker Introduction
• Find and Organize Content
• Retrieve Data in Looker Reports
• Get Ready for Development
• Send and Share Content
• Create Dashboards and Reports
• Write LookML Modelling

Looker Introduction :

Looker is a tool that helps you explore, share, and visualize your company’s data so that you can make better business decisions. This page will help you start learning Looker with our documentation.

Find and Organize Content :

Looker gives you access to your organization’s data. Many users start by browsing through the reports — which we call Looks — and dashboards that others in their organization have already created. This page will show you how to find that content and how to organize it to suit your needs.

Retrieve Data in Looker Reports :

After learning how to browse through others’ reports and dashboards, many users want to take the next step and learn how to query data themselves. This allows them to harness their organization’s data for their own specific needs. This page outlines the documentation on retrieving and charting data.

Get Ready for Development :

To unlock the magic of Looker, data experts at each organization describe their data in a lightweight modeling language called LookML. LookML tells Looker how to query data, so everyone in the organization can create reports and dashboards without needing to understand the behind-the-scenes details. This page outlines the documentation on preparing to write LookML.

Send and Share Content :

One of Looker’s advantages is the many ways you can send and share content to colleagues or those outside your organization. This page outlines the documentation on sending and sharing content.

Create Dashboards and Reports :

After learning how to query and chart data, many users want to take the next step and learn how to create and edit their own reports — which we call Looks — and dashboards. This allows them to organize and present information in a logical and cohesive way. This page outlines the documentation on dashboards and reports.

Write LookML Modelling :

Once a data modeler understands the basic concepts of creating projects and developing in Looker, it’s time to write LookML! The power of LookML gives developers lots of flexibility to work with their organization’s data and create custom experiences for Looker users. This page outlines the documentation on LookML.

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