Welcome to the world of GCP data services, where data is the king and storage is the queen. As an associate cloud engineer, you want to keep up with the latest trends and technologies in the market, and GCP has some of the best data services that can help you achieve your goals.
In this ultimate cheat sheet, we’ll explore the top GCP data services that you need to know as an associate cloud engineer, and how they can help you boost your enterprise mobility management game.
| Data Service | Database Type | Use Case | Scalability |
| Cloud SQL | Relational | OLTP | Vertical |
| Cloud Spanner | Relational | OLTP | Horizontal |
| Cloud Firestore | NoSQL | Real-time | Horizontal |
| Cloud Bigtable | NoSQL | Large Workloads | Horizontal |
| Cloud BigQuery | Columnar | Analytics | Horizontal |
| Cloud Dataproc | Hadoop/Spark | Big Data | Horizontal |
| Cloud Dataflow | Stream Analytics | Real-time | Horizontal |
| Cloud Pub/Sub | Messaging/Events | Real-time | Horizontal |
| Cloud Storage | Object Storage | Archiving | Horizontal |
| Cloud Memorystore | In-Memory | Caching | Horizontal |
GCP Storage Services
Cloud Storage: Your Object Storage Solution in the Cloud
Cloud Storage is a scalable object storage service for storing and retrieving data globally, with a web interface and APIs. It provides low latency, high availability, and strong consistency.
Cloud SQL: Your Reliable SQL Database in the Cloud
Google’s Cloud SQL provides a fully managed database service, leaving you free to focus on your applications.
Cloud SQL offers automatic backups, high performance, and industry-standard security features, making it an ideal solution for SQL databases in the cloud.
Cloud Spanner: The Mission-Critical Relational Database for the Cloud
Cloud Spanner: A globally distributed and scalable relational database designed for mission-critical applications. With Cloud Spanner, scale your database without downtime and choose your data location. Ideal for high-availability, globally distributed relational database workloads.
GCP Big Data Services
Cloud Dataproc: Fully-Managed Apache Hadoop and Spark
Helps you process big data workloads quickly and easily, without worrying about infrastructure management.
Cloud Dataflow: A Fully-Managed Streaming Analytics Solution
Supports both batch and streaming data pipelines, using a single programming model, and integrates with other GCP services like BigQuery and Cloud Pub/Sub to facilitate seamless data movement.
BigQuery: The Enterprise Data Warehouse for Big Data Analytics
Store, process, and analyze petabytes of data using SQL queries, without the need for any infrastructure management.
BigQuery offers advanced security features and automatic scaling.
Cloud Pub/Sub: Scalable Real-Time Messaging and Event Ingestion
The service for high throughput messaging. With Cloud Pub/Sub, you can easily send and receive messages between independent applications.
It integrates with other GCP services like Cloud Dataflow and Cloud Functions for the seamless processing of real-time messages.
GCP NoSQL Services
Cloud Firestore: The Realtime Database for Mobile, Web, and IoT
A fully managed NoSQL document database designed for scalable, low-latency, and real-time applications.
Whether you’re building a mobile app, a web app, or an IoT device, Cloud Firestore offers a flexible and easy-to-use solution that can handle all your data needs.
Cloud Bigtable: A NoSQL Database for Large Workloads
Fully-managed NoSQL database that is designed for large and complex workloads. It is highly scalable and can handle petabyte-scale data with low latency and high throughput.
Build applications that require high availability, reliability, and performance. It is also integrated with Apache HBase, which means that you can use your existing HBase client libraries and tools.
Cloud Memorystore: In-Memory Data Store for Redis and Memcached
Fully-managed in-memory data store that is designed for Redis and Memcached. It allows you to build high-performance applications that require low latency and high throughput.
Scale your applications seamlessly, without having to worry about infrastructure management.
It also integrates with other GCP services like Cloud Functions and Cloud Run, making it easy to build serverless applications.
Conclusion
In conclusion, as a Certified Associate Cloud Engineer, it’s important to keep up with the latest cloud technologies. With this cheat sheet, you now have a quick guide to the top seven GCP data services that you need to know.
Whether you’re building applications that require high scalability, low latency, or real-time analytics, these services can help you take your enterprise mobility management game to the next level.
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