Google Cloud Professional Data Engineer Exam

What is the best tool for abstracting multiple data sources for analysts needing to analyze and visualize data?

1. Looker Studio

2. Connected Sheets

3. D3.js library

4. Looker

The correct answer is: Looker

Looker is designed specifically for business intelligence and data analytics, providing a powerful platform for connecting to various data sources and enabling data exploration and visualization. It offers users a unified view of their data through 3D visualizations and the ability to create dashboards and reports from different datasets without the need for extensive coding. Looker's integration capabilities allow analysts to perform complex queries across multiple data sources, making it easier for them to gain insights and visualize their findings effectively. While other tools like Looker Studio are useful for data visualization and reporting, they might not have the same level of abstraction and integration features for multiple data sources as Looker does. Connected Sheets provides a way to use Google Sheets for connected data, but it is limited in terms of functionality compared to a comprehensive tool like Looker. D3.js is a powerful JavaScript library for creating custom visualizations but requires significant development resources and skills in programming, making it less accessible for analysts compared to Looker. Hence, Looker stands out as the most suitable choice for abstracting data from multiple sources for analysis and visualization.