Google BigQuery
Google BigQuery is a powerful analytics tool that enables organizations to store and analyze massive amounts of data from various sources in real time. As a fully configurable data warehouse, BigQuery utilizes an architecture built on Google’s servers, allowing users to focus on data analysis rather than managing server infrastructure and ensuring its updates and security.
With its SQL query processing capabilities, BigQuery is an ideal solution for discovering trends, generating reports, and making data-driven decisions based on information from various tools – especially marketing and analytics platforms.
If...
- You need to analyze massive datasets and make data-driven decisions in real time.
- You need to analyze massive datasets and make data-driven decisions in real time.
and you need...
- a flexible cloud solution to support applications and business processes.
- integration with existing tools and systems within the company.
and you're tired of...
- the limitations of your current infrastructure, such as availability and performance bottlenecks.
- he complexities and high costs of traditional server management.
- lacking adequate tools for data analysis and to drive innovation.
this is what you'll achieve with Google BigQuery
- high-speed processing of massive datasets
- effective analysis and reporting
- flexible scaling
- reducing data storage and processing costs
Google BigQuery
Boost operational efficiency by up to 20%
Reduce IT system downtime by up to 40%
Achieve up to a 35% reduction in data processing time
BigQuery integrates with other Google Cloud tools, such as Google Cloud Storage and Google Cloud ML, which simplifies the process of building comprehensive analytical solutions.
Additionally, BQ enables data connection through connectors (a wide range of plug and play solutions are available for tools such as GA4, Google Ads, Facebook Ads, and other advertising systems). In cases where a tool you use does not have a built-in connector, our IT department can prepare the data and transfer it to BigQuery.
What are the benefits of using Google BigQuery?
- Functionality: Allows for quick processing of large data volumes, enabling efficient analysis and reporting.
- Scalability: Offers easy adaptation to the evolving needs of organizations, accommodating both small and enormous datasets – the option to purchase extra space, memory, or servers is always available
- Cost Optimization: The pay-per-use model allows organizations to optimize their spending on data storage and processing.
How do we help?
A key element is the development of your data warehouse. The more data, the more questions and business cases – together during inspiration sessions and weekly statuses, we try to generate ideas that will help make better decisions. How else do we support you in the area of BigQuery?
Needs Identification
A workshop focused on understanding client needs and adapting the solution to their unique specifications.
Training
We offer team training to ensure they can fully utilize the features of BigQuery and the system we jointly develop.
Support
You’ll receive ongoing technical support and system updates from us.
Troubleshooting
We provide support in understanding your data and detecting any anomalies.
What is the purchase process?
1
Needs Assessment
A team of qualified experts will define your goals and requirements.
2
Recommended Solutions
We create a customized proposal.
3
Implementation
Implementing the solution into the client’s infrastructure, and preparing connectors and reports in Power BI or Looker Studio.
4
Szkolenie
Providing team training on using the tool within BigQuery.
5
Utrzymanie i rozwój
The collection of activities we carry out to maintain data coherence and continually develop the tool.
Jak wygląda proces zakupu/wdrożenia?
Zespół wykwalifikowanych ekspertów określi Twoje cele i wymagania.
Przygotowujemy
dopasowaną ofertę.
Skonfigurujemy platformę
i zintegrujemy ją z Twoimi
systemami.
Przeszkolimy Twój zespół.
Będziemy wspierać Cię na
każdym etapie.
Who will you be working with?
Ewa Kańczuk
Head of marketing analytics
Ewa Kańczuk specializes in web analytics and Google Analytics 360. She currently supports Full Stack Experts’ clients in the implementation of advanced analytics projects. Previously, she managed teams and implementations at Bauer Media Group and Semahead. As a lecturer and trainer, she shares her knowledge of digital marketing and UX.
Frequently Asked Questions
-
BigQuery uses SQL to prepare tables with the appropriate data. If you are not familiar with SQL, we can help and prepare the queries for you.
-
The BQ tool itself won't help your organization much - the key is the questions and business cases (which we will prepare together) that we can jointly answer thanks to the data warehouse. The system we prepare is meant to help efficiently analyze data and store it in one place - so that different people in the organization can use it.
-
Google BigQuery offers a flexible, consumption-based pricing model that allows organizations to optimize their data storage and processing expenses.
The main cost components are:
Data Storage
- The first 10 GB of data storage per month is free.
- After exceeding the free storage limit, the cost is:
- $0.02 USD per GB of data used within the last 90 days
- $0.01 USD per GB of long-term data (not used for 90 days)
Data Processing
- The first 1 TB of data processing per month is free.
- After exceeding the free processing limit, the cost is $5 USD per TB