How to join IBM Netezza and Melissa Data Cloud

Discover how to join IBM Netezza with Melissa Data Cloud for integrated analysis.

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


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.

About Melissa Data Cloud

Melissa Data specializes in mailing preparation solutions and global contact data quality for enterprises as well as small businesses. The offering of Melissa Data covers various types of contact data services that enable companies to perform enrichments and one-time cleanses on different contact elements such as address verification, duplicate elimination, phone and email append, geocoding, and demographic append.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to IBM Netezza, Melissa Data Cloud 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.