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How to join Cloudera Impala and Amazon Advertising Platform

Discover how to join Cloudera Impala with Amazon Advertising Platform for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Cloudera Impala and Amazon Advertising Platform data into one target storage and analyze it with your BI Tool.
How to join Cloudera Impala and Amazon Advertising Platform with Pipes
Learn How


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.

About Amazon Advertising Platform

Amazon Advertising Platform is a demand-side platform (DSP) for advertisers who want to target Amazon shoppers with digital display formats, either on Amazon sites or across the web, and in mobile apps. It gives advertisers the opportunity to use Amazon’s targeting to reach users based on their purchase history, recent purchase intent, and shopping patterns.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Cloudera Impala, Amazon Advertising Platform and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.
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