Google Bigtable is a fully managed NoSQL service with a focus on low latency and high throughput. It is well suited for storing data for large analytical processing, operation data from IoT devices, other time-series data, and so on. Cloud Bigtable is designed for performance, for huge databases (~1 TB) and it optimizes your data over time. In this recipe, we'll have a look at a small database generated by an IoT temperature sensor. We'll write a Python script to simulate a sensor sending temperature data located in a garden to the Bigtable. Then, we'll use BigQuery to connect to the Bigtable database to query and make meaning out of the data store.
Building Google Cloud Platform Solutions
By :
Building Google Cloud Platform Solutions
By:
Overview of this book
GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud.
You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications.
This Learning Path includes content from the following Packt products:
• Google Cloud Platform for Developers Ted Hunter and Steven Porter
• Google Cloud Platform Cookbook by Legorie Rajan PS
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
The Google Cloud Console
APIs, CLIs, IAM, and Billing
Google App Engine
Google Kubernetes Engine
Google Cloud Functions
Google Compute Engine
NoSQL with Datastore and Bigtable
Relational Data with Cloud SQL and Cloud Spanner
Google Cloud Storage
Stackdriver
Change Management
GCP Networking for Developers
Messaging with Pub/Sub and IoT Core
Integrating with Big Data Solutions on GCP
Compute
Storage and Databases
Networking
Security
Machine Learning and Big Data
Management Tools
Best Practices
Other Books You May Enjoy
Index
Customer Reviews