Looker – Onboarding
Looker – Onboarding
Strategic Implementation & LookML Development
Strategic Implementation & LookML Development
Deploying Looker is not just about installing software; it is about building a semantic data model that represents your business logic. Digitl guides organizations through the entire implementation lifecycle, from connecting the data warehouse and architecting the LookML project to training analysts and business users. We ensure your data platform is trusted, scalable, and adopted across the enterprise.
Strategic Implementation & LookML Development
Strategic Implementation & LookML Development
Deploying Looker is not just about installing software; it is about building a semantic data model that represents your business logic. Digitl guides organizations through the entire implementation lifecycle, from connecting the data warehouse and architecting the LookML project to training analysts and business users. We ensure your data platform is trusted, scalable, and adopted across the enterprise.
Database Connection
Database Connection
The first step is establishing a secure, performant connection between Looker and your SQL database (e.g., BigQuery, Snowflake). We configure the connection settings to ensure query efficiency and data security.
LookML Architecture
LookML Architecture
Digitl's data engineers design the core LookML project. We define the 'views' and 'explores' that translate your raw database tables into business-friendly metrics like 'Net Revenue' or 'Active Users'.
Git Workflow Setup
Git Workflow Setup
Looker uses Git for version control. We set up the Git repository and branching strategy, enabling your data team to collaborate on code, review changes, and manage releases just like software developers.
Permission Design
Permission Design
We define a robust content access structure. This involves setting up folders, groups, and roles to ensure that the right people have access to the right data, keeping sensitive information secure.
Dashboard Creation
Dashboard Creation
Once the model is built, we create the initial set of high-value dashboards. These serve as the starting point for your business users, showcasing the power of the new data model.
User Training
User Training
Adoption is key. We run separate training tracks: technical training for your data analysts on how to write LookML, and functional training for business users on how to explore data and build reports.
See how the Looker onboarding works:
See how the Looker onboarding works:
Discovery & Design
Discovery & Design
Before writing code, we map your business requirements. Digitl conducts workshops to understand your KPIs, data sources, and reporting needs. We design a 'Hub and Spoke' architecture plan that ensures your data model remains clean and reusable as the organization grows.
LookML Development
LookML Development
This is the core engineering phase. Digitl's certified LookML developers build the semantic layer. We define dimensions and measures, create derived tables for complex calculations, and set up 'Explores' that allow non-technical users to query the data intuitively without knowing SQL.
Validation & Testing
Validation & Testing
Trust is built on accuracy. We rigorously test the LookML logic against your source systems to ensure the numbers match. We also perform load testing to optimize query performance, ensuring that dashboards load quickly even when processing large volumes of data.
These companies use Looker for business intelligence
These companies use Looker for business intelligence
Frequently Asked Questions
Frequently Asked Questions
A standard implementation typically takes 4 to 8 weeks, depending on the complexity of your data and the number of metrics to be modeled. This includes the initial setup, LookML development for core data sources, and the creation of essential dashboards.
Yes. During the discovery phase, we analyze your existing reports to understand the logic behind your metrics. We then 'translate' this logic into LookML, effectively recreating your current reporting capabilities within the improved, governed environment of Looker.
No. One of the main benefits of Looker is that it abstracts the SQL complexity. Once the LookML layer is built by the technical team, business users can drag and drop fields to explore data and build charts without writing a single line of code.
Your IT team primarily needs to provide a service account with the appropriate access rights to your database (e.g., BigQuery). Digitl handles the configuration within the Looker instance, but we require the initial database credentials to establish the connection.