Archives August 2021

Azure Synapse Analytics – Identify considerations for relational data on Azure

Azure Synapse Analytics

Azure Synapse Analytics is a limitless analytics service that brings together big data and data warehousing. It offers a unique environment for processing large volumes of data in relational and non-relational formats. Synapse Analytics stands out with its ability to query data on-demand with serverless capabilities or to provision resources for more demanding workloads. It integrates deeply with other Azure services, providing a unified experience for ingesting, exploring, preparing, managing, and serving data for immediate BI and machine learning needs. Azure Synapse links with Azure Data Lake, which offers massive scale and secure data lake functionality. Moreover, it provides a unified experience for data prep, data management, data warehousing, big data, and AI tasks. The Synapse Analytics workspace brings together these components into a cohesive development environment that supports multiple program-ming languages and offers a code-free experience through a web-based interface.

Azure SQL Edge

Azure SQL Edge caters to the burgeoning realm of IoT and edge computing. It’s designed to stretch the capabilities of SQL databases to edge devices, bringing data storage and processing capabilities closer to the source of data generation. SQL Edge offers a small-footprint database engine optimized for the edge, with built-in capabilities for streaming, storage, and AI-driven analytics. It supports a subset of the T-SQL language and integrates with Azure’s IoT tools, thus providing a consistent programming model across your cloud and edge solutions. With Azure

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SQL Edge, you can deploy data workloads on devices running on ARM and x64 architectures, ensuring flexibility across diverse hardware. It also brings robust security features, such as data encryption and support for private networks, ensuring that your edge data is well-protected. For scenarios that involve disconnected or semi-connected environments, intermittent cloud connectivity, or real-time analytics on the edge, Azure SQL Edge provides a streamlined and efficient solution.