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Welcome to Datagrid
Welcome to Datagrid
Google Cloud SQL - PostgreSQL

Google Cloud SQL - PostgreSQL

Google Cloud SQL for PostgreSQL is a fully-managed database service that allows you to set up, manage, and administer PostgreSQL relational databases on Google Cloud Platform. By connecting Google Cloud SQL - PostgreSQL to Datagrid, you can seamlessly integrate your database information with other business-critical data, enabling enhanced reporting, analytics, and decision-making.

1. How-to

1. Prerequisites

To configure the Google Cloud SQL - PostgreSQL connector, follow these steps:

  • A Google Cloud account with the necessary permissions to access Cloud SQL for PostgreSQL.
  • A Cloud SQL for PostgreSQL instance with the necessary databases and tables.
  • PostgreSQL username and password with appropriate privileges.
  • Ensure that your Cloud SQL for PostgreSQL instance allows connections from Datagrid's IP addresses. You may need to configure the firewall rules accordingly.
  • Select the data you want to import into Datagrid

2. Connect

Creating a dataset from the Google Cloud SQL - PostgreSQL connector involves selecting the specific data you want to import:

  1. Connect Google Cloud SQL - PostgreSQL App: a. Click on the "+ Create” Button on the top left of the screen. b. Select the "Connect Apps" item. c. Search for the Google Cloud SQL - PostgreSQL connector from the list. d. Enter your Google Cloud SQL for PostgreSQL instance details, including server name, database name, username, and password. e. Click on the “Next” button.
  2. Pick your Data: a. Pick the Google Cloud SQL - PostgreSQL data you want to include in your dataset (e.g., Tables, Views, Stored Procedures). b. Click on the “Start First Import” Button to start syncing your Google Cloud SQL - PostgreSQL dataset.

3. Set Up a Schedule:

Scheduling regular data pulls ensures your Datagrid datasets remain up-to-date with the latest information from Google Cloud SQL - PostgreSQL:

  1. Navigate to Google Cloud SQL - PostgreSQL Dataset: a. Go to the left side panel and locate and click on the Google Cloud SQL - PostgreSQL dataset you created.
  2. Schedule Settings: a. Click on the “...” on the top right of the dataset. b. Click on “Edit Pipeline” to edit your connector's name. c. Click the “Schedule” button on the right, beside the “Import Configuration” button.
  3. Configure Schedule: a. Set the desired frequency for data pulls (e.g., daily, weekly, monthly). b. Specify the time of day for the data pull to occur. c. Specify downtime if needed – when the sync should not happen. d. Click the “Update” button to update the new configuration.

4. Data Access

  • Server
  • Configuration
  • Database
  • Firewall Rules
  • Log Files
  • Operations

5. Use Cases

  • Business Intelligence: Import data from Google Cloud SQL - PostgreSQL into Datagrid to create dashboards and reports that provide insights into key business metrics.
  • Data Analysis: Analyze data from Google Cloud SQL - PostgreSQL in Datagrid to identify trends, patterns, and anomalies.
  • Application Development: Use Datagrid to access and transform data from Google Cloud SQL - PostgreSQL for use in custom applications.
  • Data Migration: Migrate data from Google Cloud SQL - PostgreSQL to other data sources using Datagrid's data integration capabilities.
  • Web Application Hosting: Utilize Cloud SQL for PostgreSQL to host scalable and reliable web applications.
  • CRM Platform: Deploy Pega Platform, a business process management and customer relationship management (CRM) platform, with Cloud SQL for PostgreSQL.

6. FAQ

Q: What versions of PostgreSQL are supported? A: Cloud SQL for PostgreSQL supports several PostgreSQL versions. Refer to the official Google Cloud SQL documentation for the list of supported versions.

Q: How do I ensure secure connections to my Cloud SQL instance? A: You can configure SSL/TLS encryption for connections to your Cloud SQL instance. Additionally, you can use VPC Service Controls to restrict access to your Cloud SQL instance from unauthorized networks.

Q: What are the best practices for optimizing performance in Cloud SQL for PostgreSQL? A: Some best practices include using appropriate indexes, optimizing queries, and monitoring database performance using Cloud Monitoring.

7. Support & Additional Resources