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BigQuery: Store your data and obtain valuable information at scale

BigQuery it's a data warehouse Fully managed, serverless enterprise-grade business that runs on different clouds. Allows companies store and analyze large amounts of structured and unstructured data.

What is BigQuery?

BigQuery It is a fully managed service, which means that Google takes care of the infrastructure, he maintenance and the scalability. This allows companies to focus on their data and the insights they can gain from it.

Is Easy to use and can scale to meet business needs. BigQuery is also very affordable, so you can store and analyze your data without spending a fortune.

What are the benefits of BigQuery for businesses?

BigQuery is a powerful tool that can help businesses make better decisions, improve the efficiency and develop new products and services

Scalability

BigQuery is a scalable data warehouse that can handle large amounts of data. This is important for companies that collect and analyze large amounts of data.

Security

It offers a wide range of security features that help protect business data. This includes encryption, access control, and intrusion detection.

Flexibility

BigQuery editions allow you to choose the right feature set for each workload's requirements to achieve the best price-performance ratio.

Cost

BigQuery has a consumption-based pricing model that can help businesses save money on their data costs.

Innovation

BigQuery is an innovative platform that offers the latest data technologies. This is important for companies that want to stay at the forefront of innovation.

Discover more Google Cloud products for Data

Cloud Composer

Create, schedule, monitor and manage workflows

Cloud Data Fusion

Data integration service that runs in the cloud.

Data Catalog

Metadata repository that stores information about the data.

Data flow

Large-scale data processing in the cloud.

Dataproc

Create and manage big data clusters in the cloud.

Connected Sheets

Connect Google Sheets spreadsheets with data from the cloud.

Dataplex

Unified data infrastructure in the cloud.

Dataprep by Trifacta

Prepare data quickly and easily without writing code.

Datastream

Allows ingesting data in real time from external sources.

Pub/Sub

High performance and scalable messaging.

Public Datasets

Public data available for download and use by anyone.

Frequent questions

BigQuery is Google Cloud's fully managed, serverless solution for storing enterprise data. BigQuery supports all data types, runs across clouds, and has machine learning and business intelligence capabilities built into a unified platform. 

Enterprise data warehouses are systems used to analyze and report structured and semi-structured data from various sources. Many companies are making the leap from traditional on-premise data warehouses to cloud data warehouses, which offer more scalability, flexibility, and cost savings.

BigQuery has strong security, governance, and reliability controls, delivering high availability and SLAs with 99.99 % uptime. Your data is protected with default encryption and customer-managed encryption keys.

There are several ways to get started with BigQuery. New customers receive $300 in free credit to use on BigQuery. All customers get 10 GB of storage and up to 1 TB per month of free consultations, which are not deducted from their credit. You can get this credit by signing up for BigQuery's free trial.

He BigQuery sandbox lets you try BigQuery without a credit card. You automatically stay within BigQuery's free tier and can use the sandbox to run queries and analysis on public data sets to see how it works. You can also bring your own data into the BigQuery sandbox for analysis. Additionally, there is an option to upgrade to a free trial, where new customers receive $300 in credit to try BigQuery.

Businesses of all sizes use BigQuery to consolidate siled data into a single location, so they can analyze it and extract valuable insights from all of their business data. This way, companies can make decisions in real time, simplify business reporting, and incorporate machine learning into data analytics to predict their future business opportunities.

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