Highlights Xtend24 | TimeXtender Partner Event

This was formerly known as TimeXtender V6XXX/TimeXtender SaaS. In this product, you can build the data infrastructure from data ingestion, data transformation and data modeling, to delivering correct, reliable data for data analysis in Power BI and Qlik, among others. In this, many different data infrastructures are supported such as Azure, Snowflake, Amazon AWS and Fabric.

This can also be called "the home for homeless data. In other words, data that is not (or cannot be) captured in existing applications. Think of budgets, forecasts or certain mappings of data that are often recorded in Excel files. The disadvantage of this is that mistakes can easily be made.

TimeXtender Master Data Management allows you to manage that data through a simple web-based page. You can assign rights, check whether the entered data meets predetermined conditions, and enable extensive logging of changes. If master data (e.g. customers, articles, suppliers, etc.) is recorded in multiple systems, TimeXtender Master Data Management can be used to create an overarching central dataset for this data. The result can then easily be read back into TimeXtender Data Integration.

With TimeXtender Data Quality, data quality is monitored. You can apply this to data in a Data Warehouse, but also directly to data in the data source. In advance, you can define different quality rules that the data must meet. Does the data not meet the rules? Have an automatic e-mail sent to the data owners: after all, they are responsible for the data quality. In the mail or web-based portal, the data owners immediately see which data does not meet the data quality requirements. They can then correct the data in the data source.

In TimeXtender Orchestration, TimeXtender reloads can be scheduled. In addition to scheduling reloads, a visual representation of the reload process can be created and then accessed through a web-based portal. Administrators of TimeXtender, or even data users, can access this portal. Here you can immediately see the current status of various reloads, including the logging. Should a reload fail, its impact on other reloads can be seen immediately - you can receive an automatic e-mail about this. You can also start reloads from the portal. Besides TimeXtender reloads, other tasks can also be triggered from TimeXtender Orchestration such as PowerShell Scripts, Azure Data Factory pipelines, Power BI reloads or Qlik reloads.

The Exmon and TimeXtender portal will be integrated with each other, creating the same look and feel.

As in shared an earlier article TimeXtender is busy supporting Fabric. They are going to roll this out in phases. The first phase has now been completed, making it possible to store the data in ODX in Fabric/OneLake. They are currently working to also enable support for the n Fabric/OneLake from TimeXtender. This will also enable transformations in Fabric/OneLake.

In addition to Exmon, TimeXtender has also acquired BI Builders. This gives TimeXtender more knowledge about integrating data lineage up to the report/dashboard. The idea is to further extend data lineage so that with this additional functionality you can actually analyze whether a specific field is used in a Power BI and/or Qlik dashboard, and possibly even in which object.

TimeXtender has also indicated that team development will be improved. In what way is not yet known, but we expect that parts can be locked again so that you can no longer overwrite each other's parts resulting in a corrupted repository.