azure & TimeXtender as the basis for your data warehouse!

In today's digital world, selecting the right tools and technologies is essential to get the most out of your business data. Using cloud-based technologies such as Microsoft Azure en TimeXtender, is essential for managing and analyzing data in an efficient way. In this blog I discuss why our customers enjoy using the Microsoft Azure platform in combination with TimeXtender.

Microsoft Azure (Synapse) is a cloud-based data platform that offers integrated analysis and data processing capabilities. It enables companies to collect, store, integrate and analyze large amounts of data, providing a complete overview of business processes. TimeXtender, on the other hand, is an automated data warehouse builder, which helps organizations build and maintain a central data platform in an automated manner. It uses automation to speed up and simplify the process of building and maintaining a data warehouse. All this from one central environment, visually displayed and using the computing power of Microsoft Azure.

A standard reference architecture of TimeXtender in combination with Azure see you here.

The added value of TimeXtender

The question we often get is, why would you use it? TimeXtender? Is the Microsoft Azure platform alone not enough? Here are some reasons why we use it with our customers TimeXtender:

• Data integration: Integrating data from different sources is a complex and time-consuming process. TimeXtender helps automate the data integration process and transform the data into a format suitable for analysis. This uses the computing power of the Microsoft Azure platform, for example Azure Data Factory, without in-depth knowledge of this tool being required!

• Data analysis: Collecting data is only the first step. Analyzing the data is just as important to make the right decisions. TimeXtender provides an automated way to build and maintain a data platform so you can focus on the analysis of your data. This is done by drag and drop, using automation such as: data lineage, incremental loading, history tracking and automated documentation. The data is then stored in, for example, an Azure Data Lake or in Azure SQL Server.

• Scalability: Building and maintaining a data platform is a challenge when it comes to scalability. TimeXtender uses 250+ built-in data connectors and automation to speed up the process of building and maintaining a data platform, so you can scale and expand quickly.

• Usability: TimeXtender has an intuitive and visual interface that allows users without programming knowledge to easily integrate, model, transform and analyze data. Automation speeds up the process of building and maintaining a data platform. Best practices and standards enable users to manage data quickly and efficiently. This reduces time and costs, enabling organizations to work faster and more efficiently.

A fantastic solution

In summary, the combination of Microsoft Azure in combination with TimeXtender a fantastic solution for building and managing a data warehouse. Not quite convinced yet? Then we'd love to show you! Does your organization already have a data warehouse and are you curious how this can be improved? Or are you just looking for how to start with this? Feel free to send me an email. I will then contact you asap.