The first is a service provided by Google that analyzes and stores information. It works as aenterprise data warehousein the cloud, allowing the production of structured and semi-structured data reports from multiple sources, with flexibility and cost-effectiveness.
Looker is an artificial intelligence-led platform that uses Business Intelligence to perform embedded data analysis, creating personalized, ready-to-use visual insights .
It is important to highlight that this combination is not mandatory, but it makes data analysis more accessible, efficient and powerful, as it translates large sets of information with ease.
In this article, we will understand how to apply france phone number list advantages and features of BigQuery and Looker to your business by answering the following questions:
How do BigQuery and Looker work together for big data analysis ?
How to integrate the use of BigQuery and Looker to access big data?
What big data analytics can BigQuery and Looker do together?
How to get started using BigQuery and Looker with Toccato's support?
How do BigQuery and Looker work together for big data analysis ?
One way to understand how BigQuery and Looker work is to compare them to a library and a librarian. First and foremost, BigQuery is a library where a large amount of data is stored and cataloged by section, such as marketing, sales, and human resources.
However, no matter how organized you are, it can be difficult to find specific information without having to manually read each piece of information.
At this point, Looker comes in, who acts as the librarian. He has knowledge of everything that is in the library and can help.
First, you need to query the data. The platform then searches BigQuery for answers. When it finds them, the information is explained in an understandable way, without the need to know the complex structure behind it.
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How to integrate the use of BigQuery and Looker to access big data?
In short, theBigQueryIt works as a framework for storing and querying big data. A major advantage of the tool is the ability to import data from different sources, such as Google Drive, Cloud Storage, applications or registration systems.
Additionally, it allows unstructured data such as images, documents and audio files to also be incorporated into the system.
On the other hand, Looker provides a complete view of this entire range of information, with a user-friendly and interactive interface, so that both the expert user and the less technical user can understand the data.
Now, understand how to combine the two platforms in practice:
Data storage: Before any other step, store your company data in BigQuery;
Data processing and querying: At this stage of analysis, experienced users can run complex queries directly in BigQuery to quickly extract useful information;
Integration with Looker: Once Looker connects to BigQuery, it allows users to create data models, which structure and relate information to each other;
Data analysis and visualization: Another function of Looker is to facilitate the exploration of big data in an intuitive way, creating customized visualizations, dashboards and reports. This allows users to create and share insights .
What big data analytics can BigQuery and Looker do together?
In short, BigQuery's big data storage and Looker's visually educational interface leverage data analysis in a company. The combination of the two allows for the production of insights , capture of trends and verification of inconsistencies.