How to load your data from SendGrid to Parquet File

Pipes allows you to automatically replicate your SendGrid data into Parquet File on your defined schedule.

Load all your data from SendGrid to Parquet File to instantly get access to your SendGrid data. This data will always be updated on your defined schedule.

Pipes allows you to automatically load your SendGrid data into Parquet File. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding.

Connect to Parquet File

This will be the destination of all data pipelines you build. Besides Parquet File, Pipes supports the most used relational databases in the cloud and on-premises.

Connect to SendGrid

Just enter your credentials to allow Pipes access to the SendGrid API. Then Pipes is able to retrieve your data from SendGrid.

Create a data pipeline from SendGrid to Parquet File

Pipes lets you select the data from SendGrid you want to have in Parquet File. This pipeline will run automatically on your defined schedule!

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About SendGrid

SendGrid stands as a comprehensive cloud-based service, empowering businesses to deliver transactional and marketing emails with notable efficiency and high deliverability. It offers diverse functionalities, including sophisticated email tracking, analytics, and scalable solutions, aiding businesses in enhancing customer engagement and retention through effectively optimized email communications. By using Data Virtuality’s SendGrid API data connector, organizations can achieve seamless integration and easy access to their SendGrid data, enabling advanced analytic insights and automation capabilities in email campaigns. This integration allows businesses to finely tune their email communication strategies, ensuring a more customized and resonant approach, essential for navigating the intricate and competitive realm of digital marketing today.

About Parquet File

Apache Parquet is an open-source data repository of the Apache Hadoop ecosystem. It is comparable to the other columnar storage formats RCFile and Optimized RCFile available in Hadoop. It is compatible with most data processing frameworks in the Hadoop environment. It provides efficient data compression and encryption systems with improved performance for processing complex data in large volumes.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.

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