Microsoft Azure


From data warehousing to machine learning models. Azure has a lot to offer.

Develop solutions and combine technologies at scale

With technologies like Microsoft Azure, let’s face it: cloud computing platforms are, in short, amazing. They enable customers to develop solutions and combine technologies at almost any scale. From the modest data science proofs of concept to an enterprise-wide ERP, the possibilities are endless.

What’s not to like?

The huge variety of options can be both confusing and intimidating, which can lead to either inaction or over-investment. Euler is here to help. With years of experience in the most popular cloud computing platforms, including Microsoft Azure, we help our customers select and deploy the technologies that best suit their goals.

Azure Modern Data Warehouse

We are excited by the flexibility offered by the Azure cloud platform when building a modern data infrastructure. Whether we are combining structured and unstructured data sources in a data lake or applying business rules to master data for analysis. Azure has everything that we need.



Data integration is a core skill at Euler and one that we leverage in many different ways on the Azure platform. If an integration is simple enough, we help our customers to create ‘code free’ ETL or ELT processes using the Azure Data Factory. This reduces the risks associated with writing custom integration code and reduces the total testing burden.

Sometimes the incoming data is just too complex or is from an older system with arcane data formats. On these occasions, Euler will guide and mentor our customers through the software development lifecycle, designed to mitigate the risks of writing custom code.

Once again, the flexibility of Azure cloud allows us to pick the most appropriate technology for the job.


Flexible Storage

Euler employs a variant of the popular DataVault 2.0 model at the core of its customer data platform. DataVault is modular, extensible and, in its latest version, can be implemented on most database systems from traditional relational to more modern no SQL platforms such as Azure Data Lake Storage.

When combined with the wide variety of databases offered by Azure, DataVault enables Euler to provide our customers a robust, yet flexible data storage solution that will keep them in control of their data as they grow.

We understand that our customer’s plans change as new technologies give rise to new possibilities. It is our mission to provide our customers with the support that they need to get the most from the latest tech while maintaining data quality and security through planning and governance.

Multi-modal Data Storage

Microsoft Azure greatly reduces the investment of time, energy and money required to deploy diverse database platforms. Euler are here to help our customers select and deploy the best database types for their data. Whether it’s relational, no SQL, key value stores, graph or any combination thereof; we will help deliver sound reasoning to support the choice and a solid framework for deployment.


Synapse Analytics

So, you’ve stored your data in SQL Server, Azure Data Lake and a graph in Cosmos DB. Great, what now? Your data engineers and scientists are will likely want to analyse data across your infrastructure, which is where Azure Synapse Analytics comes to the rescue.

Azure Synapse has the ability to combine data from disparate sources and enables your team to perform a huge range of analysis tasks from creating static MI and BI reports to real time reporting of data streaming into your data warehouse.

The platform supports not only SQL, but Python, Scala and Spark SQL which improves, not only development flexibility, but also the pool of candidates available for recruitment.

Integrate AI and BI, coupled with code-free orchestration, places Azure Synapse at the leading edge of cloud-based data analysis.

As with all Azure technologies, Euler is here to offer advice, support and mentoring to help you navigate this exciting new world of limitless possibility.