How to integrate Parquet File in Heroku Postgres

Discover how to integrate Parquet File and Heroku Postgres and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Parquet File data into Heroku Postgres and analyze it with your BI Tool.
How to integrate Parquet File in Heroku Postgres with Pipes


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.

About Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service based on PostgreSQL. Besides the database Heroku Postgres delivers an additional toolset consisting of the possibility to fork the database to clone it with a single command for running test on the clone, read-only replicas of the database, continuous protection and mutli-ingress to access the database from anywhere on the internet.

What is Data Virtuality Pipes?

Data Virtuality Pipes is an easy to use data integration tool. It allows to connect with Parquet File, Heroku Postgres and more than 200 other cloud services and databases. All connected data sources can be directly queried with SQL and data can be moved into any analytical database. Customers of Data Virtuality Pipes no longer have to worry about API changes. All connectors and data pipelines are fully maintained by us.

1

EXTRACT

Choose your data sources: Google Analytics, Salesforce, Facebook, Amazon MWS and more

2

LOAD

Move your data into a target storage: Amazon Redshift, PostgreSQL, Google BigQuery, Snowflake and more

3

ANALYZE

Analyze your combined data using the Business Intelligence tools of your choice: Looker, Tableau, Excel and more

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