Process your data at lightning speed with cloud platforms strategically located in global data centers, ensuring your users have instant access to critical information. Amlgo Labs partnership with Microsoft Azure provides unparalleled flexibility in service levels, storage locations, and coding languages, empowering you to scale seamlessly to meet your unique needs.
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Discover how we empower businesses to harness the full potential of their data through our cutting-edge solutions.
Strengthen your data security and disaster recovery posture. Our expertise in Azure Data Lake Storage Gen 2, Azure Synapse, Azure Cosmos DB, Azure SQL DB, and Azure Databricks operations monitoring delivers robust and reliable solutions.
Leverage our services for secure data ingestion and workload orchestration. We utilize Azure Data Fabric, Azure Data Factory, Azure Logic Apps, Azure IoT Hub, combined with our Data Quality and Profiling framework and Data Acquisition accelerator, to deliver a complete solution.
Accelerate your data processing and gain a competitive edge. Our mastery of Azure HDInsight, Databricks, Synapse Analytics, Machine Learning, Stream Analytics, and IoT Analytics unlocks the full potential of your data.
Securely manage and govern your data across on-premises, multi-cloud, and SaaS environments with our expertise in Azure Data Catalog, Purview, AD, Key Vault, and Security Center.
Amlgo Labs Microsoft Fabric solution streamlines the creation and implementation of a cutting-edge data and analytics platform. Built on Microsoft's Fabric SaaS platform, our solution seamlessly integrates data, analytics, and business intelligence, enhanced by generative AI. This provides a robust, scalable, and cost-effective foundation for high-impact use cases across diverse business functions and industries. Delivered as a complete, end-to-end package, including a demo environment, pre-built data frameworks, and seamless Power BI integration, our offering empowers you to unlock comprehensive insights and advanced analytics capabilities.
Migration of legacy data warehouse to cloud-native centralized architecture” Problem statement: One of our business partners wanted to harness the power of modern-day problem-solving using the latest technology.
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