Azure Data Services
Leverage the power of your data at scale, with performance and endless possibilities, using Azure data services.
Whether you are just getting started with your first cloud deployment, deploying your next machine learning use case, or developing your IoT framework and scenarios, Sullexis can help you quickly build your data infrastructure, data engineering muscle, data ingestion, integration, and migration processes and establish your IoT Hub.
How Sullexis Can Help
Design and Build Data Ingestion for Analytics and Visualizations
Substantial work is required to ingest, link, match, and cleanse the data to enable relationships and hierarchies to uncover business insights. Sullexis has deep experience in the ingestion and processing of data. We can reconcile data models from many source systems and formats, generating the single source of truth necessary to develop reliable analytics and meaningful visualizations from your data.
Design and Implement Cloud Data Management
Determining where and how cloud technology fits into your existing IT infrastructure can be a daunting task. Azure Data Lake Service can offer significant advantages over on-prem storage from a cost and management perspective. While enticing, this presents new challenges; let Sullexis help you design your cloud storage strategy.
Sullexis’ cloud implementation strategy is two-fold: reduce costs and minimize time-to-value. Combining standardized deployment strategies (CI\CD) with agile data engineering practices helps our clients adhere to budgets and proactively mitigate run-away spend. Pipelines developed on-prem often have little visibility when deployed as part of a cloud process. Streaming on-prem application logs to the cloud is just one-way Sullexis ensures 100% coverage of your platform. Sullexis streamlines the cloud deployment process with an Agile approach to resource deployment and management, focusing on high-value use cases that drive business value.
Implement Machine Learning-Backed Analytics
Machine learning methodologies have exploded onto the scene as a means of exploiting data to find patterns traditional BI tools cannot reveal. Hosting ML models developed using Python and R in a production environment requires the same CI/CD processes as their java predecessors. Sullexis’ agile approach utilizing Azure Machine Learning services abstracts the infrastructure complexities of managing the development, training, and model deployment, decreasing time-to-value in any ML use case. Whether you’re considering the cloud for your first ML use case or looking to implement PySpark models against your existing on-prem data lake, Sullexis has the toolset knowledge and data engineering expertise to set you up for success.
Application Integration and Data Migration Services
The only constant in IT is change. To remain competitive, you must continually address upgrades and integrations with new applications and data migrations. Data is the key to any system migration or integration. We are data experts with deep experience in planning, defining, and implementing data integrations and migrations.
IoT Hub Services
A central message hub for communication between devices and backend solutions is a critical piece of maximizing the value of IoT data.
Sullexis can help you establish your Azure IoT Hub, creating reliable and secure two-way communication between your devices and the IoT application. Virtually any device can be connected to an IoT hub. We can help you extend your IoT solution from the cloud to the edge with device authentication, management, and scaled provisioning provided by IoT Hub. Sullexis can help you integrate IoT Hub with other Azure services for a complete, end-to-end connected environment around your assets and build your IoT analytics solutions.