How to combine data from Google Ads Reporting API with Cloudera Impala

Pipes allows you to quickly Integrate Google Ads Reporting API with Cloudera Impala data for a combined analysis.
Load data from Google Ads Reporting API and Cloudera Impala into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Google Ads Reporting API, Cloudera Impala, 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 Google Ads Reporting API and Cloudera Impala

You just need to enter the associated credentials to allow Pipes access to the Google Ads Reporting API API and the Cloudera Impala API.
3

Combine data from Google Ads Reporting API and Cloudera Impala

Pipes lets you select the data from Google Ads Reporting API and Cloudera Impala that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Google Ads Reporting API

Google Ads is an indispensable tool for digital marketing, harnessing Google’s vast search network to connect businesses with prospective customers. With a diverse suite of advertising options across search, display, and video, Google Ads offers unparalleled customization and targeting capabilities. Whether you’re a small startup or a large enterprise, this platform can tailor your ads to reach the right audience, driving traffic and sales through precise, data-driven campaigns. Our Google Ads connector delivers all your campaign data automatically on schedule directly into your central data warehouse. Find more information about our Google Ads data connector in the dedicated connector documentation.

About Cloudera Impala

Cloudera Impala is an open-source massively parallel processing (MPP) SQL query engine for data running Apache Hadoop stored in computer clusters. This ways Impala brings scalable parallel database technology to Hadoop, enabling users to issue low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation.

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.