In today’s market, data analytics is more important than ever but conventional data warehouse systems are changing. The requirements put on analytics platforms are to include both conventional, organized, standardized BI and to facilitate new ways of agility-based data processing, rapid change support, and semi/unstructured data. A modern, scalable, cloud-based architecture is needed to support this new category of advanced analytics, including machine learning, predictive and artificial intelligence.

With their Azure cloud service offering, one of the industry leaders in this area is Microsoft. They offer a variety of technologies, including a host of storage, data ingestion, analytics and data science technologies that support these flexible requirements.

Many of these innovations, however, are still new and they are all continuously changing. It can be a confusing scape of ground. Even after making the decision to move forward, it can be puzzling and vague about the steps, technologies and approach needed.

The offering of Webynatics to the Modern Analytics Framework around Roadmap helps to determine where you are and where you want to be. Crucially, we can direct you through the steps necessary to take you there We will help demystify the technology environment and design the most suitable architectural patterns and approach to support both current and future requirements with our real-world experience of producing production systems using this technology, sometimes involving before general availability.