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BigQuery

RESTful web service for interactive large-scale analysis of large datasets hosted in Google Storage. Serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.

BigQuery

BigQuery is Google Cloud’s highly scalable enterprise data warehouse solution. It is fully managed and serverless, offers real-time insights from streaming data, has built-in ML out of the box, and has a high-speed in-memory BI engine for faster reporting and analysis. BigQuery is designed to make data analysts and data scientists more productive, and it is a secure offer that has data encryption by default to ensure data security.

BigQuery is part of Google Cloud’s comprehensive data analytics platform that covers the analytics value chain from Ingest >> process >> store >> advanced analytics and collaboration. BigQuery is deeply integrated with the GCP’s analytical and data processing offering, allowing customers to build an enterprise-ready cloud-native data warehouse.

 

Democratize insights with a secure and scalable platform with built-in machine learning:

  1. Power business decisions from data across clouds with a flexible, multi-cloud analytics solution
  2. Run analytics at scale with 26%–34% lower three-year TCO than cloud data warehouse alternatives.
  3. Adapting to your data at any scale, from bytes to petabytes, with zero operational overhead
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BigQuery Benefits

Gain insights with real-time and predictive analytics

Query streaming data in real-time and get up-to-date information on all your business processes. Predict business outcomes easily with built-in machine learning–without the need to move data.

Access data and share insights with ease

Securely access and share analytical insights in your organization with a few clicks. Easily create stunning reports and dashboards using popular business intelligence tools out of the box

Protect your data and operate with trust

Rely on BigQuery’s robust security, governance, and reliability controls that offer high availability and a 99.99% uptime SLA. Protect your data with encryption by default and customer-managed encryption keys.

Key Features

 

ML and predictive modeling with BigQuery ML

BigQuery ML enables data scientists and analysts to build and operationalize ML models on planet-scale structured or semi-structured data directly inside BigQuery, using simple SQL—in a fraction of the time. Export BigQuery ML models for online prediction into Vertex AI or your serving layer.

 

Multicloud data analysis with BigQuery Omni

BigQuery Omni is a flexible, fully managed, multi-cloud analytics solution that allows you to cost-effectively and securely analyze data across clouds such as AWS and Azure. Use standard SQL and BigQuery’s familiar interface to quickly answer questions and share results from a single pane of glass across your datasets.

 

Interactive data analysis with BigQuery BI Engine

BigQuery BI Engine is an in-memory analysis service built into BigQuery that enables users to analyze large and complex datasets interactively with sub-second query response time and high concurrency. BI Engine natively integrates with Google’s Data Studio using BI Engine single node and natively accelerates any other business intelligence tools using BI Engine SQL interface.

 

Geospatial analysis with BigQuery GIS

BigQuery GIS uniquely combines the serverless architecture of BigQuery with native support for geospatial analysis so that you can augment your analytics workflows with location intelligence. Simplify your analyses, see spatial data in fresh ways, and unlock entirely new lines of business with support for arbitrary points, lines, polygons, and multi-polygons in common geospatial data formats.

 

Serverless

With serverless data warehousing, Google does all resource provisioning behind the scenes, so you can focus on data and analysis rather than worrying about upgrading, securing, or managing the infrastructure.

 

Spreadsheet interface

Connected Sheets allows users to analyze billions of rows of live BigQuery data in Google Sheets without requiring SQL knowledge. Users can apply familiar tools—like pivot tables, charts, and formulas—to easily derive insights from big data.

Real-time analytics

BigQuery’s high-speed streaming insertion API provides a robust foundation for real-time analytics, making your latest business data immediately available for analysis. You can also leverage Datastream, Pub/Sub, and Dataflow to stream data into BigQuery.

 

Connect BigQuery with the support of Cloudfresh

Experience

We helped a big quantity of our clients’ companies from different industries and different sizes to boost their data workflows with BigQuery solutions.

Expertise

Our professionals deeply understand the functionality of BigQuery and the various options that enable our clients with a high level of the service according to the company's needs optimally.

Payment by invoice in UAH, USD, EUR

We provide invoices and payments by bank transfer from the legal entity to another legal entity in Europe.

Legal documents

We provide all necessary legal and accounting documentation according to the legal requirements of the paying country.

Discounts and special conditions

We provide discounts for new and regular corporate customers for implementing and setting up BigQuery.

Additional service and support from Cloudfresh

In addition to selling licenses, we implement and support BigQuery, integrate it with other services, and conduct team training.

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