Navigate the Microsoft Azure Data Analytics Landscape.

Accelerate delivery of pervasive analytics with a Modern Data Platform.

With Adatis’ knowledge of Microsoft Azure Data Analytics, for the first time we are able to instantly monitor, predict, troubleshoot and analyse in ways we would not believe possible before.


Data analytics is more relevant in today’s business than ever but traditional data warehouse platforms are evolving. The demands placed on analytics platforms are to provide both the traditional, structured, standardised BI and to support new ways of analysing data based on agility, supporting rapid change and semi/unstructured data. To support this new form of advanced analytics, including machine learning, predictive and artificial intelligence, a new flexible, cloud-based platform is required.


One of the market leaders in this space is Microsoft with their Azure cloud service offering. They offer a range of technologies that support these flexible requirements, including a host of storage, data ingestion, analytics and data science technologies.

However, many of these technologies are still emerging and all constantly evolving. It can be a confusing landscape. Even after making the decision to move forward, the required steps, technologies and approach can be puzzlingly and unclear. Which data platform service do you need?


Adatis’ data platform services help to assess where you are and where you want to be. Crucially we will guide you through the steps required to take you there. With our real-world experience of delivering production systems utilising this technology, often involved before general availability, we can help to demystify the technology landscape and design the most appropriate architecture patterns and approach to support both current and future requirements.

Azure Modern Data Platform

Microsoft’s Azure Modern Data Platform fundamentally changes the landscape for data analytics by making analytics available to everyone across organisations of all sizes, and not only the largest enterprise.

the steps of a Modern Data Warehouse

Innovate with new analytics tools and technologies. In this age of big data, organisations must be able to fully exploit all sources of data and content for insight.

  • Modern, proven technology and process
  • Ability to Handle Massive Datasets
  • Elastically Scalable
  • Appropriately Real-Time
  • Fault Tolerant
  • Flexibility and Agility as standard
  • Operationally Cost Optimised

Data Platform services to drive your business forward.

The Adatis Analytics Execution Process helps organisations easily execute their strategy, using the most appropriate latest tools and technologies.