Google Looker BI

Data Exploration and Analysis:

• Interactive Exploration: Easily drill down into datasets to uncover insights.
• Ad-hoc Querying: Perform custom queries without needing deep technical skills.

Data Modeling with LookML:

• Centralized Data Definitions: Ensure consistent data interpretation.
• Reusable Models: Create scalable and reusable data models using LookML.

Custom Visualizations and Dashboards:

• Rich Visualization Options: Choose from various charts, graphs, and maps.
• Interactive Dashboards: Build dynamic dashboards that update in real-time.

Collaboration and Sharing:

• Easy Sharing: Share reports and dashboards via links, emails, or embeds.
• Collaboration Tools: Add comments and annotations directly within Looker.

Basic SQL Knowledge:

• Understanding of SQL queries for data retrieval and manipulation.

Data Analysis and Interpretation:

• Ability to analyze data and derive meaningful insights.

Familiarity with Databases:

• Basic understanding of relational databases and data warehouses.

Understanding of Data Modeling Concepts:

• Knowledge of how to structure and model data for efficient querying.

Advanced Data Analysis:

• Proficiency in analyzing complex datasets and deriving actionable insights.

Data Modeling:

• Skills in creating and managing LookML models to structure and optimize data for analysis.

SQL Mastery:

• Enhanced SQL skills for writing complex queries to retrieve and manipulate data within Looker.

Data Visualization:

• Expertise in creating interactive and informative dashboards and reports.