Our Azure integration services explained

Are Enterprises taking advantage of the full benefits of Microsoft Azure? 

Boasting a comprehensive toolbox for a wide range of services – from AI to security and governance – Microsoft Azure can help enhance the capacity, capability, and confidence of internal teams throughout an enterprise. 

But with so many Azure services to choose from, it can often be difficult to deploy the very best tools for your architecture. The Azure platform is a comprehensive set of tools, from simple cloud storage to advanced AI & ML capabilities. Choosing the right service for your data and analytics architecture is vital, as incorrect setup or choice can negatively affect the quality of your end results and objectives. 

Acting as an outsourced Azure data integration partner, we’re able to offer complete solutions that start at initial audit and assessment, and end at ongoing maintenance and evaluation. 

These integration services move beyond the implementation of single components such as Data Factory and SQL Databases, and towards specialist bespoke solutions. As a result, we can help enterprises and teams take advantage of the full benefits of the Azure ecosystem. 

Microsoft Azure: The advantages 

There are a wide range of benefits that come with a successful and specialised Azure integration – with each one capable of helping empower teams for the better. Two core advantages include flexibility and the ability to automate processes. 

Flexible approaches 

Azure facilitates the ability to perform the same function in several different ways according to your specific needs and compute requirements. When in need of additional resources, this can be created quickly and cost-effectively, with users being able to control resource as easily as selecting the next option on a slider. 

This means that enterprises only pay for compute resources when needed, granting greater flexibility compared to traditional on-premises solutions that require consistent maintenance and scaling. 

However, this flexibility can also have an impact on budget, as the same function completed for an investment of £5,000 may be possible on £500. Understanding the best pathway to grant the greatest ROI can be difficult, however, our Azure services can help aid you through this process to reach the best value for your enterprise. 

Automated practices 

With a fully functional and value-led Azure integration, teams can take advantage of the potential that Azure-based automation has to offer, as data is transferred from a dizzying array of sources via Azure Data factory to platforms such as Azure SQL databases, Azure Synapse, & Databricks. 

Substituting time-consuming and manual processes with rapid automation gives valuable time back to staff to focus on other projects or priorities. 

Additionally, it may even help to reinforce the quality of the data and insights generated, mitigating the potential for errors to affect reliability. 

What’s the role of an Azure data integration engineer? 

An Azure data integration engineer holds essential skills to accelerate and enhance the movement, transformation, storage, and use, of Azure-based data. 

The engineer’s main role is to choose the correct Azure components to implement and deliver a proposed end-to-end solution. The specific components chosen can be influenced by a wide range of factors, such as: 

  • The volume and complexity of data 
  • Data latency 
  • The project budget and scope 
  • The specific use case and objective 

While the above describes the role of an Azure data integration engineer, the reality is much more complex. The data integration engineer should help a customer or a business to build a technical solution that solves a specific business problem, using the services available in the Azure product range. 

With hundreds of use cases to decipher, the input from a data integration engineer cannot be overstated. 

Consistency, clarity, and confidence 

We’re progressively seeing our Azure integration services becoming the new starting point, and standard, for wiring up data between database platforms and analytics services like Azure Synapse Analytics. In addition to these projects, we’ll often use Databricks or Azure Data Factory for managing data transformation. 

But what does this mean for businesses in reality? 

These integrations create harmony between different departments, and different platforms such as logistics, finance, and marketing. With the correct integration and layout, harmful silos are removed and replaced by a collaborative, communicative, and clear overview. 

Our integration services can also be performed in tandem with internal IT teams. Struggling with capacity in demanding environments, these teams may possess the skill sets needed to implement, maintain, and support Azure implementations, but don’t have the resources needed. 

As trusted Azure partners, we can provide a collaborative and comprehensive integration solution – engaging with IT teams or internal stakeholders while implementing and coordinating successful delivery, from start to finish. 

To begin your journey to an enhanced Azure environment, get in touch today. 

For finance professionals, working with complex formulas and large datasets can be challenging and time-consuming. Harriett Gray, our Finance Director, has discovered how Copilot in Excel can simplify and optimise finance activities, making her more productive and confident in her data analysis.

As a Managing Director for our Data & AI Practice, Alister Jones works with multiple customers and projects every week, requiring him to stay on top of numerous communication channels and platforms. He knows how challenging it can be to keep track of all the emails and Teams messages he receives, especially when working across different time zones and deadlines. That’s why he leverages Copilot for Microsoft 365, to help him stay organised, productive, and responsive.

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