Bigtable documentation

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Bigtable is a low-latency NoSQL database service for machine learning, operational analytics, and user-facing operations. It's a wide-column, key-value store that can scale to billions of rows and thousands of columns. With Bigtable, you can replicate your data to regions across the world for high availability and data resiliency.

Go to the Bigtable product page for more.

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免费试用

Google Cloud新用户首次注册即可获得300美元赠金。此外，无论新老用户，均可免费使用20多款产品，积累动手实践经验。

免费试用

Google Cloud新用户首次注册即可获得300美元赠金。此外，无论新老用户，均可免费使用20多款产品，积累动手实践经验。

Documentation resources

Find quickstarts and guides, review key references, and get help with common issues.
Explore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
Training
Training and tutorials

Work through a codelab that teaches you how to avoid common schema design mistakes, import data, read your data, and then use it to generate a heatmap that shows New York City bus data.

Training
Training and tutorials

Learn how to how to create an instance, design a schema, and perform administrative tasks in Bigtable.

Training
Training and tutorials

Run YCSB benchmarks against Bigtable.

Use case
Use cases

Learn the differences between Bigtable and Apache Cassandra.

Migration Cassandra Apache

Use case
Use cases

Look at a sample application that uses Bigtable as a feature store to deliver a fraud-detection use case.

Fraud detection Bigtable Dataflow

Code sample
Code Samples

Create a hello world application using the client library for Java.

Code sample
Code Samples

Try a hello world example written in Go.

Code sample
Code Samples

Get started with .NET on Bigtable.

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