Google Cloud BigQuery

Google Cloud BigQuery

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What is Google Cloud BigQuery?

Google Cloud BigQuery is an advanced data warehouse that is fully managed and designed for lightning-fast SQL queries and real-time analytics. It streamlines data analysis, seamlessly expands as needed, and provides affordable options for organizations to extract valuable insights from their data. With Google Cloud BigQuery, businesses can easily harness the power of data for better decision-making.

Google Cloud BigQuery Resources

Google Cloud BigQuery Pricing

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Company Details

Company Name : google
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Key Features of Google Cloud BigQuery

  • Scalable Architecture
  • Serverless
  • Real Time Analytics
  • Standard Sql
  • Machine Learning Integration
  • Data Encryption
  • Data Partitioning
  • Data Clustering
  • Federated Querying
  • Data Transfer Service
  • Geospatial Analysis
  • Bi Engine
  • Data Studio Integration
  • Iam Policies
  • Audit Logs
  • Data Sharing
  • Cost Control
  • Data Import/export
  • Apis And Sdks
  • Automatic Backups
  • Marketing Analytics
  • Predictive Analytics
  • Machine Learning
  • Platform As A Service (paas)
  • Data Warehouse
  • Big Data
  • Etl
  • Columnar Databases
  • Database As A Service (dbaas)

Specifications

Run On Mobile Browser : Yes
Available Support : Email,Phone
Languages Available : English
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Google Cloud BigQuery FAQ's

The top 5 features of Google Cloud BigQuery include:

  • Scalable Architecture
  • Serverless
  • Real Time Analytics
  • Standard Sql
  • Machine Learning Integration

Google Cloud BigQuery supports a variety of platforms including: Email, Phone.

Google Cloud BigQuery serves a wide range of businesses including StartUps.

The top three competitors of Google Cloud BigQuery are NetApp Backup and Recovery, Snowflake and Incorta. To find the best fit for your business, compare and evaluate each platform's features, advantages, disadvantages, and other key aspects.

Google Cloud BigQuery is available exclusively in English, providing a streamlined experience for English-speaking users.

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