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      Create secure customer’s data pipelines to any data warehouses

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      Stories on how to use customer data for company growth

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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
MySQL to Google Cloud Storage

ETL MySQL data to Google Cloud Storage

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Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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MySQL is a powerful open-source database trusted for managing business-critical data.
Renta Marketing ELT seamlessly transfers your MySQL data to Google Cloud Storage, enabling fast, automated, and secure analytics workflows.
Unlock deeper marketing insights and empower your data teams with reliable, always up-to-date information.

Set up your ELT pipeline in 3 simple steps

Select MySQL as your data source and securely authenticate your account to initiate the data extraction process.

Selecting MySQL as the data source in Renta.
1Connect your source

Select MySQL as your data source and securely authenticate your account to initiate the data extraction process.

Selecting MySQL as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the MySQL API

Renta supports 7 methods of data export using the MySQL API.

Databases

Represents the collection of databases managed by the MySQL server. Contains metadata about each database, such as name, character set, and collation.

Tables

Provides access to the structure and metadata of tables within a specific database, including table names, columns, data types, indexes, and constraints.

Rows

Enables retrieval, insertion, updating, and deletion of row-level data within a specified table. Contains the actual records stored in the database.

Users

Manages user accounts and their associated privileges. Includes information such as usernames, authentication methods, and access rights to databases and tables.

Schemas

Describes the organizational structure of a database, including tables, views, stored procedures, and relationships between objects.

Queries

Allows execution of SQL statements, such as SELECT, INSERT, UPDATE, and DELETE, enabling flexible interaction with database data and structure.

Status

Provides real-time information about the MySQL server's operational status, including server uptime, active connections, and performance metrics.

Use cases

Unlock actionable MySQL insights

  • Automate daily MySQL backups to Google Cloud Storage for secure disaster recovery
  • Sync MySQL sales data to Google Cloud for advanced revenue trend analysis
  • Aggregate customer behavior logs from MySQL to GCS for cross-channel insights
  • Export product inventory from MySQL to GCS for real-time supply chain dashboards
  • Enable seamless data sharing by archiving MySQL tables to Google Cloud Storage
  • Store anonymized MySQL user data in GCS for scalable machine learning workflows
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Use cases: MySQL and Google Cloud Storage integration
TEMPLATES

Start quickly with these use case templates

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Google BigQuery

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Google Sheets
Snowflake

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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

Product
  • Marketing ETL
  • First-party data streaming
Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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  • How to load LinkedIn Ads data into Google BigQuery

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