Today, data and metadata must be quickly integrated and usable for analytics. It is usually very time-consuming and inefficient to keep track of and manage dozens of individual data flows or microservices. Visualizing your data pipelines not only brings transparency and clarity, but also opportunities to make decisions about capacity planning and load balancing. This allows you to identify problems early and meet your service level agreements (SLA) without stress. 

Data pipeline tools, such as:

...enable you to manage data pipelines at a glance.

A lot of time is wasted in the error-prone development of an ETL code. Often the data model is then outdated for the successful start of a data analytics project. Modern data integration automation mechanisms help you create the warehouse design, ETL code and continuous updates without costly rework and delays decreasing your ROI.

Data warehouse automation tools, such as:

help you automate your data warehouse and data lake processes.

Real-time data replication and capture enable data to be efficiently moved from disparate databases, data warehouses, Big Data platforms, and Hadoop without impacting the operational business. Loading operations can be reduced from several hours to minutes.

Data integration tools such as:

can help you with the big challenges facing your business.

Enable uncomplicated access to your prepared key figures in self-service with a data catalog. In your central data marketplace, your employees can find their numerous data sources to interpret them in an understandable way and gain new insights and knowledge. This data can then be transferred to your Business Intelligence tool on demand.

Data Catalog tools, such as:

help you make your information integration accessible to all employees.

Move your raw data profitably through your data pipelines. Use technologies that allow you to do this efficiently on a low-code basis, but still allow you to intervene individually in the code. We help you find the right approach and use resource-efficient methods that minimize the time spent on your data transfer.

ELT tools such as

help you reduce your operational costs and develop scalable systems.