How to join DHL Track & Trace and H2

Discover how to join DHL Track & Trace with H2 for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate DHL Track & Trace and H2 data into one target storage and analyze it with your BI Tool.
How to join DHL Track & Trace and H2 with Pipes


About DHL Track & Trace

DHL Track & Trace systems provide a fast way to check shipment status. It displays real-time shipment status as the shipment speeds through the comprehensive DHL network with a visualized delivery path at Google Maps. DHL Track & Trace tracks every DHL shipment on Packagetrackr simply by entering a DHL tracking number.

About H2

H2 is one of the leading open-source relational database management systems written in Java. It can be embedded in Java applications as well as run in the client-server mode. The main programming APIs of H2 are SQL and JDBC, however the database also supports the usage of the PostgreSQL ODBC driver by acting like a PostgreSQL server. The database engine delivers features like a browser based console application or  a small footprint around 1.5 MB jar file size.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to DHL Track & Trace, H2 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.