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Creating effective dashboards in Looker requires using data visualization techniques to solve specific business problems. The main goal is to visualize data in a way that answers critical questions and aids decision-making. For instance, using measures like percentages can clearly express key performance indicators, such as the rate of returned items. In LookML, these percentages are calculated by creating counts for conditions and linking them with formulas, such as 100.0 * ${returned_count} / NULLIF(${count}, 0), to prevent errors and ensure clarity.
To make analysis more useful, Looker includes features for interactive exploration. Users can drill down into the data to see the details that make up the larger numbers. Using sets for drill-down details allows developers to specify exactly which fields appear when a user clicks on a value. This capability encourages users to manipulate data directly from the dashboard, helping them find actionable insights on their own.
Connecting to external databases is another essential part of building comprehensive dashboards. Looker allows you to create data sources based on specific databases, such as Microsoft SQL Server, using hostnames or IP addresses. You can also use advanced configurations like custom SQL queries to retrieve exactly the data you need. This flexibility ensures comprehensive data analysis by integrating diverse datasets tailored to business requirements.
Finally, security is a top priority when setting up these data connections. Looker supports encrypted connections using protocols like TLS/SSL to protect data privacy and integrity. This ensures that sensitive business information remains secure during the analysis process. By using public hostnames and secure protocols, businesses can integrate widely used databases while maintaining strict security standards.
Interactive dashboards in Looker allow analysts and users to quickly explore and visualize data to answer questions. A dashboard is essentially a collection of tiles, which can be charts, tables, or text arranged on a single page. You can add saved Looks or create new ad-hoc queries as tiles to display your information. These dashboards automatically refresh whenever the underlying data updates, ensuring that you always see the most current results.
To create a new dashboard, you navigate to the Dashboards page and select the option to build a new one. From there, you use the Add Tile feature to choose the type of content you want to display. Options include:
Organizing the content on a dashboard is crucial for helping users focus on key insights. You can drag and drop tiles to rearrange the layout or resize them to emphasize specific data points. Inserting text tiles allows you to create sections or collapsible panels to group related charts together. These grouping techniques make the dashboard easier to read and navigate for the end user.
You can also make dashboards dynamic by applying filters and dashboard parameters. Dashboard-wide filters allow users to adjust the view for all tiles at once, such as filtering by date or region. Tile-level filters apply only to specific charts, while Parameters let users input specific values to update queries instantly. These tools empower viewers to customize the data view to answer their own questions without needing to edit the dashboard itself.
Sharing and managing dashboards in Looker is designed to be collaborative and safe. You can share dashboards with specific users or groups by assigning them Viewer or Editor roles. Features like version history allow you to view changes, compare different versions, or revert to an earlier state if a mistake is made. Additionally, LookML-based dashboards can be managed as code, allowing teams to track changes systematically.
In summary, creating and modifying dashboards involves a blend of visual design, technical configuration, and interactivity. By utilizing data visualization techniques and secure database connections, practitioners can build tools that accurately reflect business metrics. Furthermore, developing interactive elements such as filters, drill-downs, and organized layouts empowers users to explore data independently and safely. Mastering these skills ensures that dashboards effectively answer business questions while maintaining data security and usability.