TimeXtender is a high-performance data management platform, anchored on automation, that enables digital transformation. TimeXtender accelerates your time to data insights by up to 10 times - enabling your transformation to a data driven business. TimeXtender allows you to connect to various data silos, catalog, model, move, and report on the full lifecycle of data – in a single application that supports core analytics, the modern data warehouse, IoT, AI and more.
Developed with a cloud-first mindset, TimeXtender provides a cohesive data fabric across Microsoft on-premises technology and Azure Data Services, eliminating the need to manually stitch together a patchwork of tools for data access, modeling and compliance. Beyond this, in an evolving cloud ecosystem, TimeXtender also supports other target data warehouse destinations such as Snowflake.
This creates a future-proof modern data estate, that naturally evolves with technology advancements, allowing for continuous improvement of data insights for business decision makers.
Connecting to, exploring, and extracting data from upstream sources.
Loading source data into a warehouse staging area.
Building or changing a logical data model.
Generating (or re-generating) the transformations used to populate data structures in the warehouse.
Building, changing, or maintaining the different types of denormalized data structures (star schemas, OLAP cubes) that are commonly exposed to front-end BI reporting and analytical tools.
Determining the impact of proposed changes to upstream sources.
Upgrading from one version of a target RDBMS to another.
Moving from a warehouse target running in one context (e.g., on-premises Oracle) to a target running in a very different context (e.g. Azure SQL Data Warehouse).
Cost effective data warehouse maintenance.
Migrating from one warehouse target platform to another.
Upgrading a data warehouse.
Retiring a data warehouse.
As a recognised partner, we offer consulting and professional services for TimeXtender, which is our recommended tooling for data engineering in the Microsoft and Azure ecosystem.
If you're interested in a demonstration, want to try it (for free!), or simply wish to find out more please Get in Touch.