How to join DB2 for iSeries (AS/400) and Mapp

Discover how to join DB2 for iSeries (AS/400) with Mapp for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate DB2 for iSeries (AS/400) and Mapp data into one target storage and analyze it with your BI Tool.
How to join DB2 for iSeries (AS/400) and Mapp with Pipes


About DB2 for iSeries (AS/400)

IBM DB2 is a relational database management system for enterprise-wide solutions developed by IBM. A relational database is a database in which all of the data is logically contained in tables. These databases are organized according to the relational model. In a relational database like IBM DB2, referential integrity ensures data integrity by enforcing rules with referential constraints, check constraints, and triggers.

About Mapp

Mapp provides an all-in-one platform called Mapp Cloud, which includes a data management platform (DMP); a marketing automation platform; and a customer data platform (CDP) to provide a single profile view of each customer. Mapp’s Digital Services also support campaign management, email deliverability, and strategy consulting.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to DB2 for iSeries (AS/400), Mapp 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.