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Our Synapse Data Science consultancy helps businesses unlock the full potential of their data. By leveraging Microsoft Fabric‘s integrated AI and machine learning tools, we streamline data exploration, model building, and deployment. Our services enable you to gain actionable insights quickly, optimise workflows with AutoML and MLFlow, and enhance decision-making processes using pre-trained AI models. Partner with us to transform your data into a strategic asset using AI.
Synapse Data Science is a complete data science solution embedded in Microsoft Fabric. It provides a seamless workflow for data scientists to explore, create and implement machine learning models effectively. Synapse Data Science combines well known data science tools such as R and Python, along with features like Data Wrangler for data manipulation, AutoML for streamlining model optimisation and MLFlow for monitoring experiments and models. This integration enables users to effortlessly navigate through different phases of their data science endeavours using a single platform.
Benefits of Synapse Data Science
Seamless Integration: Synapse Data Science is deeply integrated within the Microsoft Fabric ecosystem, providing a unified environment for data exploration, model training, and deployment. This seamless integration with other Microsoft tools like Azure Cognitive Services and Power BI ensures a smooth workflow and eliminates the need for multiple disconnected tools.
Enhanced Productivity: With features like AutoML, Synapse Data Science automates the process of model selection and hyperparameter tuning, significantly reducing the time required to develop effective machine learning models. The Copilot experiences in notebooks further enhance productivity by assisting with code generation, troubleshooting, and documentation.
Advanced AI Capabilities: Synapse Data Science provides access to pre-trained AI models from Azure Cognitive Services, including text analytics, anomaly detection, and translation services. These capabilities allow businesses to leverage advanced AI without the need for extensive in-house expertise.
Scalability and Performance: Built on a scalable architecture, Synapse Data Science enables distributed batch scoring on Spark, ensuring high performance even with large datasets. The integration with OneLake ensures data is always optimised for BI reporting, making it easy to generate insights from extensive data sources.
Comprehensive Model Management: With MLFlow integration, Synapse Data Science provides robust model tracking and experiment comparison features. This allows data scientists to manage multiple models and experiments efficiently, ensuring that the best-performing models are easily deployable.
We offer comprehensive data science workflows from data ingestion to model deployment. Our services include data cleaning, feature engineering, model training, and results visualisation, all within the Microsoft Fabric ecosystem.
We build and optimise machine learning models. Our services ensure that your models are efficient and tailored to your specific business needs.
We provide training and ongoing support to ensure your team can effectively use Synapse Data Science tools. This includes workshops, documentation, and one-on-one sessions to build your team's capabilities.
Key features of Synapse Data Science include AutoML, MLFlow for model tracking and integration with pre-trained AI models.
Common use cases include sentiment analysis, image recognition, speech-to-text conversion, and anomaly detection, enhancing applications with intelligent features.
You can find out more about Microsoft Fabric and it’s toolset by reading Microsoft’s blog.
Data Science focuses on using data to generate insights and build predictive models, while Data Engineering deals with data collection, storage, and preparation for analysis and modelling.
Data Wrangler is a low-code interface for data transformation that automatically generates Python code making it easier to prepare data for modelling and visualisation.
Azure Machine Learning is a standalone service which does not benefit from increased integration with other tools within the Fabric product.
Easy Insight can provide consultancy for Azure Machine Learning, however for new customers just starting out on their machine learning journey, we recommend using Synapse Data Science for it’s advanced capabilities through integration with other Fabric tools.
Easy Insight provides end-to-end Synapse Data Science services including data ingestion, data transformation, machine learning model development, deployment, and monitoring using Microsoft Fabric’s robust platform.
Our team can develop a variety of machine learning models, including regression, classification, clustering, and deep learning models, leveraging Azure Machine Learning’s capabilities for different business use cases.
Simply contact us through our form below or give us a call on 0333 355 1788. We will schedule an initial consultation to discuss your data science needs and develop a customised plan to leverage Synapse Data Science for your business.
Get in touch with us to discuss how we can support you in your Data Journey with our Synapse Data Science Consultancy Services.