There are many examples / sample / demo programs here, each with its own README.
Quickstart/HBase - Create a Cloud Bigtable Cluster and the hbase shell from within a docker container on your local machine
- Simple-CLI - A simple command line interface for Cloud Bigtable that shows you how to do basic operations with the native HBase API
- Cloud Bigtable Map/Reduce - How to load data to Cloud Bigtable using Map/Reduce on GCE
- Managed VM Bigtable-Hello on GAE - Accessing Cloud Bigtable from a Managed VM / JSON Upload / Download
- Managed VM Bigtable-Hello using Jetty - Accessing Cloud Bigtable from a Managed VM / JSON Upload / Download
- Storm - Stream live data from Coinbase to Cloud Bigtable using Apache Storm
- search - Create and search a Cloud Bigtable.
- Bigtable-Hello - Accessing Cloud Bigtable from a Managed VM
- Thrift - Setup an HBase Thrift server(s) to use Cloud Bigtable and access that from Python to do basic operations.
- REST - Setup an HBase REST server(s) to use Cloud Bigtable and access it from Python and do basic operations.
- PubSub – Integrating Spark Streaming with Cloud Pubsub
- Standalone-Wordcount – Simple Spark job that counts the number of times a word appears in a text file
- Streaming-Wordcount – Pulls new files from a GCS directory every 30 seconds and perform a simple Spark job that counts the number of times a word appears in each new file
- See CONTRIBUTING.md
- See LICENSE