How to join Acquisio and IBM Netezza

Discover how to join Acquisio with IBM Netezza for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Acquisio and IBM Netezza data into one target storage and analyze it with your BI Tool.
How to join Acquisio and IBM Netezza with Pipes


About Acquisio

Acquisio is a performance media solution that enables digital marketers to optimize their search campaigns and report on social, mobile and display initiatives. The predictive algorithm Acquisios products are built on learns and decides how to optimize digital marketing results across ad platforms and makes optimized bid adjustments within a certain budget.

About IBM Netezza

IBM Netezza designs and markets advanced data warehouse appliances for analytics applications. Use cases for IBM Netezza include business intelligence, data warehousing, business continuity planning and predictive analytics. The Netezza SQL commands support the standard grammar (SQL-92). The purpose-built, embedded, advanced analytics platform IBM Netezza Analytics helps client's analytics to meet their business demands.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Acquisio, IBM Netezza 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:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.