Microsoft Cloud Data Platforms
Building You A Foundation For Growth
Building You A Foundation For Growth
We design and deliver robust and automated data pipelines that run seamlessly to ensure you have the most important data readily available. BoomData are a Microsoft Data & AI Azure Solutions Partner and specialist. This ensures we have deep expertise in not only the most innovative data platform but also in how to apply it to business processes and organisations of all shapes and sizes to improve their data maturity. If you’re facing any of the following then we can help:
We can help combine data from disparate sources into a single view as part of data ingestion. We design and implement automated data pipelines that can handle high volumes of real-time data using Azure Data Factory and Data Flows. We’re versed in all forms of data ingestion including batch, streaming and hybrid ingestion and integration techniques such as real-time data integration, batch and ETL and ELT pipelines. A stable, robust and secure data ingestion pipeline is the foundation to unlocking actionable insights.
In order to begin driving insights from your data, it needs to be stored somewhere. Choosing the right data architecture is a critical step that impacts the performance of your insights. BoomData has deep expertise in designing and delivering Microsoft cloud data storage platforms in Azure and Synapse that are reliable, deliver a single source of trusted data and scales with your business as it grows. We’ve combined years of experience to get you up and running quickly and with confidence.
Separate storage & processing layers that can store structured, semi-structured and raw data.
Structured data storage for housing multiple disparate sources of data.
Combines the best of a data lake and data warehouse by supporting structured, semi-structured and unstructured data.
As part of creating the data platform, data may need to be transformed into a form that’s more usable and automated so it’s easier to work with. This can improve the overall quality and efficiency of data analysis. Our senior consultants can help with the following tasks:
Our aim is to make the transition out of legacy systems as painless as possible. We can create a custom migration plan to move your data assets to a Fabric, Azure SQL or Synapse modern, cloud-based platform for greater flexibility, performance and scalability. Our approach will include an assessment of your migration readiness based on your current environment, deployment model recommendations including what data and apps to migrate, data quality focus, a security framework, design and build of the new architecture with technical migration details for all environments, training, and go-live procedures. We’re also there to help with continuous optimisation afterwards as your business evolves.
Starting a data platform project can be daunting, however it doesn’t have to be that way. We take an agile, iterative design and delivery approach, with a view to delivering value early in your project. While working with you to determine the right engagement model, offering both onshore & offshore resources. We can be engaged on a project basis, for ad-hoc work, as a complement to inhouse resource or a full managed service. Our size and focus ensures we’re responsive, get to know your business and care about what we deliver.
“We engaged BoomData to provide an end-to-end data & analytics service, including design, architect, build and support of our data & analytics platform from the ground up, including a new Microsoft Azure data warehouse… The data analytics we now access daily helps us to manage the care we provide and react quickly to changes. As a result we have turned around and now are delivering results that are top quartile. We have found working with the BoomData…
Our Director of Data Management discusses 5 telltale signs that could indicate your organisation’s data management practices may be in need of a refresh & shares tips on how to improve.
Cloud computing has become quintessential for businesses as applications are moving out of on-premise data centres to cut data management costs and increase agility. With the rapidly increasing complexity and amount of data, security and performance have become critical components for data analytics. Early concerns over data sovereignty and security have primarily been addressed by three […]
Increases in data continues to put pressure on organisations to modernise their data architectures so users can make better, more informed decisions. Data architectures that depend on legacy, one-size-fits-all BI and data warehousing systems and approaches are often falling short as use cases now push beyond simple, predefined data consumption and involve more ad hoc […]
