Massive data analysis with BigQuery

2023-12-01| Category: Massive Data, BigQuery, Real-time Insights, Business Intelligence| website:

Massive Data Analysis with BigQuery


When a client tells us they have chosen Google Cloud BigQuery for their data office, we know they are serious about data analysis.

Starting with BigQuery is always a good step, but it’s essential to ensure it’s being implemented in the best possible way.

For Adamo , daily data analysis is crucial, and the volume of information is enormous. Adamo, a telecommunications operator born in Sweden, began operating in Spain in 2007, where it became the first operator to offer 1 Gbps fiber optic – the highest bandwidth available for households today.

They want to ensure that necessary best practices are being implemented and need Taniwa to perform an analysis and report on improvements.

Value provided by Taniwa

We discuss and review the needs of the different client departments. We meet with their technology provider to review their workflow processes.

We review the architecture and code of all ETL and BI processes and present a consensus report including:

Areas for improvement
Best practices
Performance and security enhancements
Action plan

One of our key advantage was having Diego Rodriguez as an expert in Google Cloud and BigQuery.


  • ETL - DBT
  • BIG Query
  • Python
  • Data mesh (more a methodology than a technology)

DBT stands for Data Build Tool. It’s an open-source command-line tool written in Python that helps data analysts and engineers transform data in their data warehouses more effectively. DBT is particularly popular within the data analytics and data engineering communities because it simplifies the process of transforming and modeling data in a scalable and maintainable way.

Massive data analysis with BigQuery
In short
Optimizing the analysis of massive data with BigQuery providing real-time insights
Sept 20, 2023
Madrid, Spain


Contact us and tell us your needs
+34 644 237 135