Mysql to BIGQUERY | CLOUD SQL | Google cloud platform | Prwatech
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The video explains how to connect a Cloud SQL MySQL database to BigQuery. This connection enables you to import data from your MySQL database into BigQuery for further analysis and processing.
To establish the connection, you need to create a connection ID in BigQuery, providing details like the database name, username, and password. These details can be obtained from your Cloud SQL instance. Once the connection is established, you can use BigQuery's data loading capabilities to import data from your MySQL database. This allows you to leverage BigQuery's powerful analytics and machine learning tools to gain valuable insights from your data.
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To create a MySQL instance on Google Cloud SQL, you'll need a Google Cloud account, a billing-enabled project, the gcloud CLI installed, and the Cloud SQL Admin and Compute Viewer roles assigned to your user account.
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Google Cloud Platform (GCP) course is designed to teach individuals how to effectively use GCP’s suite of cloud services for computing, storage, networking, and data analytics. The course covers essential tools and services like Compute Engine, Google Kubernetes Engine (GKE), BigQuery, Cloud Storage, and Cloud Functions, helping learners understand how to deploy, manage, and scale applications in the cloud.
Typical GCP courses focus on core cloud concepts such as virtual machines, containers, and serverless computing, as well as more advanced topics like machine learning, big data analytics, and cloud security. Courses may include hands-on labs and projects, providing learners with real-world experience working with GCP.
Courses often start with foundational concepts and gradually move to more advanced topics. For professionals seeking certification, courses may be tailored to specific certification exams like the Google Cloud Associate Cloud Engineer or Professional Cloud Architect.
By completing a GCP course, learners gain the skills needed to leverage cloud technologies for building scalable, secure, and cost-efficient applications, making them valuable assets in cloud computing and DevOps roles.
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