Introduction
Google Cloud Platform (GCP) provides a variety of services to design and build various tech solutions at scale. You can use these services to store, analyze and manage data from your servers or external sources, such as databases or file systems. This article describes how to use BigQuery Data Management Services to manage your data within GCP.
GCP's BigQuery data management services allow you to access, store and extract data from GCP cloud resources.
BigQuery is a powerful data analysis service that allows you to query large datasets. You can use BigQuery in conjunction with other GCP services, such as Cloud Storage and Google Sheets. Because it's a managed service, you don't have to manage the infrastructure yourself—BigQuery provides the storage and computing power necessary for your application needs.
These services include BigQuery, Cloud Storage and Cloud Pub/Sub.
BigQuery, Cloud Storage and Cloud Pub/Sub are Google Cloud Platform services. BigQuery is used for analyzing data and taking action on it. It's a fully managed service that allows you to access the full power of GCP without having to worry about infrastructure or operational issues.
Cloud Storage is used for storing your data in Google Drive or other storage buckets that you create within the service. You can use this feature to store any file, such as:
Documents.
Images and videos (even if they're not in PNG format).
Spreadsheets (CSV or JSON).
Audio files (.mp3).
Other types of content have been uploaded into one of these buckets.
You can use these services together as a full suite for managing your data.
You can use these services together as a full suite for managing your data.
BigQuery is Google's fully managed, high-performance data warehouse service that stores billions of rows in a single master table with zero setup or maintenance required. It offers real-time processing, advanced query capabilities with SQL and NoSQL support, automatic fault tolerance and more.
Cloud Pub/Sub is a distributed publish/subscribe messaging system that allows you to connect applications across different clouds without worrying about infrastructure details like connection strings or configuration files. Cloud Pub/Sub processes messages quickly while maintaining low latency over all networks—including mobile networks using HTTP over TLS (HTTPS). The platform also supports batch jobs, so you can run large batch workloads without waiting for individual messages to get processed at precisely scheduled times within each window frame period (e.g., 30 minutes). Finally, the service supports encrypted attachments so sensitive data travelling through your network doesn't have anyone else looking at it unless they have permission from both sender AND receiver parties involved in this transaction —allowing you to keep your data safe from prying eyes.
Conclusion
As you can see, GCP's BigQuery data management services allow you to access, store and extract data from GCP cloud resources. These services include BigQuery, Cloud Storage and Cloud Pub/Sub. You can use these services together as a full suite for managing your data. These services require a GCP account with billing enabled and a valid project ID.
✍️ About the Author:
Mohamed Fayaz is a Data & AI Consultant, and a technical blogger who writes and speaks about the topics such as Software Engineering, Big Data Analytics, and Cloud Engineering. Connect with him on LinkedIn or follow him on Twitter for updates.