- Cloudfresh
- Google Cloud Products
- BigQuery
BigQuery
Unified, AI-Ready Platform That Goes Beyond Traditional Data Warehouse
BigQuery transforms how you work with data, offering a fully managed, AI-ready analytics platform. It’s designed to help you extract the most value from your data and supports multiple engines, formats, and clouds.
Carrefour leveraged data insights to tailor the shopping experience to each customer’s unique needs, leading to a 60% increase in ecommerce sales and 40% reduction in operating costs, which enhanced both customer satisfaction and business efficiency.
HCBS utilized advanced data analytics to predict risks and anticipate transaction impacts, processing data 16 times faster, which resulted in actionable insights and an impressive 88% drop in costs compared to traditional on-premises hosting.
Vodafone transformed their data operations with BigQuery, achieving a 70% decrease in data operations and engineering costs, freeing up resources to focus on innovation and delivering more value to their customers.
Transform Your Data Costs: Discover BigQuery Savings
BigQuery’s Key Features
Enhance your data workflows with Gemini and Google BigQuery. Let Cloudfresh help you unlock smarter, faster insights with Google Cloud’s powerful data platform.
Boost Productivity with Gemini in BigQuery
Gemini in BigQuery enhances your data workflows with AI-powered features like code assistance, visual data prep, and smart recommendations. With a unified workspace offering SQL, notebook, and NL interfaces, data professionals of all skill levels can enhance everything from data ingestion to ML model creation and visualization.
Multiple Engines, One Platform
Run SQL, Spark, and Python on a single dataset without exporting data or managing infrastructure. GCP BigQuery brings together multiple engines on a unified platform, breaking down silos and improving efficiency. Manage data and metadata across engines with shared security and governance controls.
Unified Data Management
BigQuery handles all data types, structured and unstructured, across clouds. Open table formats like Apache Iceberg and Delta are supported, so you can continue using your current tools while benefiting from a unified, integrated platform.
AI-Powered Machine Learning
Leverage BigQuery ML to build and run machine learning models without moving data. With access to Gemini models, you can perform tasks like text generation and vector search, accelerating insights and simplifying the development process.
Data Governance
BigQuery integrates data governance tools, including metadata catalogs, data quality checks, and AI-driven search capabilities. Use governance rules to manage your data assets, ensuring compliance while maintaining flexibility.
Enterprise-Ready Capabilities
BigQuery offers cross-region disaster recovery, health monitoring, and migration services to support your enterprise’s data needs. Its real-time analytics feature enables you to ingest and query streaming data instantly, optimizing performance with materialized views and continuous queries.
Generative AI with BigQuery and Gemini
Leverage Generative AI to combine structured and unstructured data using BigQuery and Gemini 1.0 Pro. This integration enables your organization to build advanced analytical applications that optimize data usage. By connecting BigQuery with Gemini 1.0 Pro through Vertex AI, you gain the capacity for larger input/output volumes and achieve more accurate outcomes in tasks such as text summarization and sentiment analysis.
Smooth Data Warehouse Migration
Easily transition to a modern data platform with BigQuery’s fully managed Migration Service. Organizations can migrate from legacy systems such as Netezza, Oracle, Redshift, Teradata, or Snowflake, meeting current analytics needs while preparing for future scalability. Enjoy a hassle-free migration with minimal downtime, enabling your team to stay focused on innovation.
Unlocking Insights from Unstructured Data
As unstructured data becomes increasingly valuable, BigLake in BigQuery helps organizations gain insights from diverse data types, such as images, documents, and audio files. By analyzing these data sources, businesses can generate insights that drive innovation. With advanced AI models like Vertex AI’s vision and document processing APIs, you can effectively integrate unstructured and structured data, transforming insights into informed decisions.
Real-Time Predictive Analytics for Enhanced Decision-Making
BigQuery provides businesses with the tools for real-time analytics and predictive modeling, improving operational efficiency and boosting revenue growth. Its built-in streaming capabilities enable organizations to ingest and analyze data instantly, allowing for rapid responses to business events. With BigQuery ML, data analysts can develop predictive models directly within existing BI tools, helping guide strategic decisions and enhance customer engagement through personalized recommendations and insights.
Our team’s expertises and certifications
Ready to Elevate Your Data Strategy with BigQuery & Cloudfresh?
At Cloudfresh, we help you make the most of BigQuery, offering tailored solutions to maximize the value of your data at every stage.
Custom Solutions
Our approach goes beyond providing licenses—we customize BigQuery to address your specific data challenges, whether it's improving analytics speed, reducing costs, or building machine learning capabilities. From architecture planning to deployment, our certified specialists ensure an efficient BigQuery integration tailored to your business needs.
Optimization & Ongoing Support
We optimize Google BigQuery for peak performance and Bigquery cost efficiency, addressing bottlenecks, reviewing data architecture, ensuring security compliance, and providing continuous monitoring and training. Our dedicated team offers full post-deployment support to help you get the most out of BigQuery’s features.
Special Discounts & Benefits
Cloudfresh offers exclusive discounts for both new and returning corporate clients when implementing and setting up BigQuery. We provide flexible payment options, accepting currencies such as PLN, CZK, USD, EUR, and even crypto—customized to fit your financial preferences.
"The migration marked a significant milestone, empowering our teams to leverage cloud technology's scalability, flexibility, and security to propel the business forward. This migration journey underscored the importance of comprehensive planning, ongoing training, and community engagement. Monitoring and optimization post-migration proved crucial, as did keeping a close eye on expenses. Now, we're starting the new chapter by teaming up with Cloudfresh to maximize our Google Cloud experience."
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Oleksii Kravchenko Infrastructure Engineer, Aspira Limited
"Google is truly a reliable leader in the field of cloud computing. We can meet the needs of our projects using GCP services, all while getting all the necessary tools for tracking. Migrating a portion of our infrastructure from bare metal to the cloud is fast and trouble-free. The professionalism and technical expertise of the Cloudfresh team support us during the implementation of new solutions, and that is genuinely valuable."
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Roman Pozhar Head of DevOps, appflame
"Google Cloud Platform for us is a service that allows us to quickly scale a separate progressive service for our partners dozens of times faster and flexibly manage the capacities needed at a certain moment. Cloudfresh technical support quickly helped to solve problems with API limits. The team always tries to solve and deal with problems quickly. In addition, Cloudfresh helped optimize financial costs, which contributed to developing a different project direction."
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Ivan Yakubyshyn Head of IT Infrastructure Service
"Google Cloud services are a whole world of tools that allow you to increase the efficiency of working with data and provide convenience at all stages of work. Our team uses many Google features to store our infrastructure, data processing, and A/B testing. It completely closes our need to obtain and analyze data, test hypotheses, and, accordingly, scale our business."
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Rostyslav Vasiukov Head of Engineering
"When working with Google BigQuery, even the minimum computer power is enough to process any amount of data. Since the calculation takes place on Google servers, your device will not participate in processing; you only leave a request and collect the results. Everything happens faster, easier, more efficiently."
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Dmitry Osiyuk Lead Analyst MacPaw.
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