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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 Databricks

ETL MySQL data to Databricks

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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 by businesses worldwide.
Renta Marketing ELT seamlessly connects MySQL with Databricks, enabling fast and secure data transfer for advanced analytics and reporting.
Unlock deeper marketing insights and empower your team to make data-driven decisions with ease.

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. This endpoint provides metadata about each database, including its name, character set, and collation.

Tables

Provides access to the structure and metadata of tables within a specified database. Includes information such as table name, columns, data types, indexes, and constraints.

Rows

Enables querying, inserting, updating, and deleting of individual records within a specific table. This endpoint handles the actual data stored in each table.

Columns

Returns detailed information about the columns of a given table, including column names, data types, default values, and nullability.

Indexes

Provides metadata about indexes defined on tables, such as index name, type, associated columns, and uniqueness constraints.

Users

Manages user accounts and their privileges within the MySQL server. Includes details like username, authentication method, and granted permissions.

Stored Procedures

Accesses metadata and definitions of stored procedures created in the database. Includes procedure names, parameters, and associated code.

Use cases

Unlock actionable MySQL insights

  • Sync MySQL customer data to Databricks for advanced churn prediction modeling
  • Aggregate MySQL sales transactions in Databricks to optimize inventory planning
  • Enrich MySQL marketing leads with Databricks analytics for targeted outreach
  • Automate MySQL order data ETL to Databricks for real-time sales dashboarding
  • Combine MySQL web analytics with Databricks to uncover user journey insights
  • Streamline MySQL support ticket data into Databricks for faster issue resolution
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Use cases: MySQL and Databricks integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
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Automate extraction from 100+ connections. 99.9% Uptime SLA.

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  • Marketing ETL
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  • Salesforce → Bigquery
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  • Google Sheets → Bigquery
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