How to join JW Player and IBM DB2

Discover how to join JW Player with IBM DB2 for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate JW Player and IBM DB2 data into one target storage and analyze it with your BI Tool.
How to join JW Player and IBM DB2 with Pipes


About JW Player

JW Player is a network-independent platform that develops video player and management software. It’s embeddable media player of the same name is one of the most popular of its kind. The read/write JW Platform Management API features multiple output formats (PHP, JSON, XML, Python) and enables companies to programmatically modify and manage their library or to connect their CMS.

About IBM DB2

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.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to JW Player, IBM DB2 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.