Take advantage of Google Cloud’s machine learning and advanced analytics capabilities to make it easy for everyone on your team to access the insights they need.
1. Big Query in Two Minutes
Storing and querying large data sets can be time-consuming and expensive without the right infrastructure. This video gives you an overview of BigQuery, Google’s fully managed cloud data warehouse. Watch to learn how to easily ingest, store, analyze, and visualize big data.
2. Filestore in two minutes
Filestore is a managed file storage service that provides a consistent view of your file system data and ensures stable performance over time. In this video, we give you an overview of what Filestore does and how you can use Filestore for your developer projects.
3. Local SSD in two minutes
Do you need a tool that gives you extra storage for your VM instances? This video explains what Local SSD is and the different usage scenarios. Watch to see if the temporary storage option is a good fit for your developer projects.
4. Persistent Disk in two minutes
What are persistent disks? How can they help when working with virtual machines? This video gives you a brief overview of what a Persistent Disk is and how you can use it as a cost-effective, reliable way to store and manage data.
5. Cloud Storage in two minutes
Managing file storage for applications can be complicated, but it doesn’t have to be. In this video, learn how Cloud Storage enables organizations and developers to seamlessly store and access their data without compromising security or hindering scalability.
6. Anthos in two minutes
Modernizing your applications while keeping complexity to a minimum is no easy task. In this video, you can learn why Anthos is a great platform for providing greater observability, managing configurations, and securing multi- and hybrid cloud applications.
7. Google Kubernetes Engine in two minutes
Watch this video to learn how Google Kubernetes Engine (GKE), our managed environment for deploying, managing, and scaling containerized applications, can increase developer productivity, simplify platform operations, and provide greater observability.
8. Compute Engine in two minutes
How do you move existing VM workloads to the cloud? Watch this video to learn how Compute Engine can help you move your workloads seamlessly.
9. Cloud Run in two minutes
What is Cloud Run? How it helps you build apps In this video, learn how to use Cloud Run for your developer projects, a fully managed serverless platform that lets you easily and seamlessly develop apps.
10. App Engine in two minutes
Learn how App Engine, a serverless app platform, lets you write code in any supported language, run custom containers with the framework of your choice, and easily deploy and run your code in the cloud.
11. Cloud Functions in two minutes
Get a quick overview of scalable, pay-as-you-go (FaaS) Cloud Functions to run your code with zero server management.
12. Firestore in two minutes
Cloud Restore is a NoSQL document database for your mobile and web apps that allows you to easily store, sync, and query data at global scale. In this video, you can learn how to use Firestore and discover features that simplify application development without sacrificing security.
13. Cloud Spanner in two minutes
Cloud Spanner is a fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability. In this video, learn how Cloud Spanner can help you build time-sensitive, mission-critical applications at scale.
14. Cloud SQL in two minutes
Cloud SQL is a fully managed database service that helps you set up and manage relational databases on Google Cloud. In this video, learn how Cloud SQL can help you with time-consuming tasks like patch updates, replicas, and backups so you can focus on designing your application.
15. Memorystore in two minutes
Memorystore is a fully managed and highly available in-memory service for Google Cloud applications. This tool can automate complex tasks while providing world-class security by integrating IAM protocols without increasing latency. Watch to learn what Memorystore is and what it can do to help your developer projects.
16. Bigtable in two minutes
Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. In this video, you can learn what Bigtable is and how this key value store supports high read and write throughput while maintaining low latency.
17. BigQuery ML in two minutes
BigQuery ML lets you build and execute machine learning models in BigQuery using standard SQL queries. In this video, you can learn how to use BigQuery ML for your machine learning projects.
18. Dataflow in two minutes
Dataflow is a fully managed streaming analytics service that minimizes latency, processing time, and cost through autoscaling and batch processing. In this video, you can learn how Dataflow can be used to deploy batch and streaming data processing pipelines.
19. Cloud Pub/Sub in Two Minutes
Cloud Pub/Sub is an asynchronous messaging service that separates event-generating services from event-processing services. In this video, learn how Cloud Pub/Sub can be used for message storage, real-time message delivery, and more, while delivering consistent performance and high availability at scale.
20. Dataproc in two minutes
Dataproc is a managed service that lets you leverage open-source data tools such as Apache Spark, Flink, and Presto for batch processing, SQL, streaming, and machine learning. In this video, you can learn what Dataproc is and how you can use it to simplify data and analytical processing.
21. Data Fusion in two minutes
Cloud Data Fusion is a fully managed, cloud-native, enterprise data integration service for quickly building and managing data pipelines. In this video, learn how Cloud Data Fusion can help you build smarter data marts, data lakes, and data warehouses.
