How to connect DB2 for iSeries (AS/400) to Qlikview

Discover how to connect DB2 for iSeries (AS/400) to Qlikview and how to integrate DB2 for iSeries (AS/400) with other data sources to build an organization-wide data model.

WITH DATA VIRTUALITY PIPES
Replicate DB2 for iSeries (AS/400) into a target storage and analyze it with Qlikview.
How to connect DB2 for iSeries (AS/400) to Qlikview 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 Qlikview

Qlik is one of the leaders in data discovery and Business Intelligence software for self-service data visualization and guided analytics. With Qlikview users are enabled to create visualisations, dashboards and apps in order to address the company’s most relevant business questions.

MOVE YOUR DATA WITH PIPES

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