Relational Databases in Google Cloud

Course overview

Uplatz offers in-depth and extensive training on Google Cloud Platform (GCP) for Beginners. This is video-based online course (self-paced training). You will be awarded Course Completion Certificate at the end of the course.

GCP stands for Google Cloud Platform. It's a collection of services offered by Google that let organizations run applications and data online. Think of it like renting computing power, storage, databases, and other tools instead of having to maintain your own physical servers. Here's a breakdown:

• What it is: A suite of cloud computing services that businesses can use to build, deploy, and scale applications. Imagine it as a digital toolbox with various functionalities.

• How it works: GCP runs on the same infrastructure that powers Google products like Search and Gmail. Companies can access these services through the internet and pay for what they use. This eliminates the need to manage their own physical servers, saving on costs and complexity.

• Benefits of learning GCP: There are several reasons why learning GCP can be advantageous:

  • Marketable skill: Cloud computing is a rapidly growing field, and GCP is a major player. Having GCP skills on your resume can make you more attractive to employers.
  • Cost-effective: GCP offers a free tier and pay-as-you-go pricing, making it accessible to learn and experiment without a huge upfront investment.
  • Powerful tools: GCP offers a wide range of tools for data analytics, machine learning, and artificial intelligence, which are in high demand across industries.

Key Features of GCP

1. Infrastructure: Google Cloud Platform provides a highly reliable, secure, and scalable infrastructure for running your applications. It operates on Google's global network of data centers, allowing you to deploy your applications closer to your users for improved performance.

2. Services: GCP offers a vast array of services tailored to various needs, such as:

   • Compute: Virtual Machines (VMs), Kubernetes Engine, App Engine for running applications.
   • Storage: Cloud Storage, Cloud SQL, Bigtable for storing and managing data.
   • Networking: Virtual Private Cloud (VPC), Cloud Load Balancing, Cloud CDN for networking solutions.
   • Big Data: BigQuery, Dataflow, Dataproc for processing and analyzing large datasets.
   • Machine Learning: AI Platform, AutoML, TensorFlow for building and deploying machine learning models.
   • Security: Identity and Access Management (IAM), Security Key Enforcement (SKE), Security Command Center for securing your applications and data.

3. Management Tools: GCP provides a set of management tools to help you monitor, manage, and optimize your resources efficiently. These include tools like Stackdriver for monitoring and logging, Cloud Deployment Manager for managing infrastructure as code, and Cloud Console for centralized management.