How to load your data from Exactag to Parquet File

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

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

Pipes allows you to automatically load your Exactag 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 Exactag

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

Create a data pipeline from Exactag to Parquet File

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

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About Exactag

Exactag is a marketing attribution platform which helps marketers to measure and optimize their marketing spend.

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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