How to combine data from Lead Alliance with Hive

Pipes allows you to quickly Integrate Lead Alliance with Hive data for a combined analysis.
Load data from Lead Alliance and Hive into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Lead Alliance, Hive, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to Lead Alliance and Hive

You just need to enter the associated credentials to allow Pipes access to the Lead Alliance API and the Hive API.
3

Combine data from Lead Alliance and Hive

Pipes lets you select the data from Lead Alliance and Hive that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Lead Alliance

lead allience is an affiliate network and system service provider for performance marketing. lead allience sets up networks and systems tailored to the individual requirements of its customers.

About Hive

Apache Hive is a data warehouse infrastructure which provides query, data summarization, and analysis, built on top of Hadoop. The Apache Hive data warehouse software facilitates writing, reading, and managing large datasets with distributed storage using SQL. A JDBC driver and command line tool are provided to connect users to Hive.

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.