![]() Our retail customers now have increased ability to access and transform SAP’s complex, application-specific data structures from any SAP source, and into formats optimized for analytics within Azure Synapse” – Matt Hayes, VP SAP Business at QlikĬurrently, Azure Synapse includes database templates for Retail, Consumer Goods, Banking, Fund Management, and Property and Casualty Insurance, with more industry-specific templates to be added in the near future:įigure 1: Database templates in Azure Synapse “We have further deepened our Qlik Data Integration capabilities with Azure Synapse with the availability of database templates. “Having an opportunity to test and use Azure Synapse database templates, our team at dunnhumby were impressed by the breadth of data domain coverage, along with Azure Synapse’s feature and tools for development, engineering, and delivery of outstanding data science.Īs a global leader in retail data science and knowing how hard navigating data fundamentals can be - we can see the benefits for Azure Synapse customers in helping them to rapidly unlock the value in their data assets, enabling them to evolve and scale their insight capabilities.Īzure Synapse database templates can be a key enabler in breaking down data silos and unlocking potential value in enterprise data.” - David Jack | dunnhumby Chief Technology Officer Here’s what some of the early adopters have noted: Customers and partners can rapidly build analytics-infused industry use cases by customizing and extending the standard templates using the database editor in Azure Synapse. The data in the lake database is stored in, and creates the foundation of an enterprise data lake, where data from the different sources are combined for analytics and reporting.įinally, database templates have been built with an ecosystem in mind. Data processing pipelines in Azure Synapse provide hundreds of connectors (e.g., SAP ECC, Dynamics CRM, Magento), making it easy to connect to different source systems. This schema can be expanded or derived from your own business terminology and taxonomies. By using database templates, we are leveraging decades of specific industry experience to form an extensible schema. Azure Synapse is used to perform big data operations on a lake database via either SQL or Spark compute pools. This schema includes tables, columns, and relationships that represent transactional, operational, and business semantic data. As with any database, it contains a well-defined schema for a business solution. These templates provide schemas for predefined business areas, enabling data to be loaded into a database in a structured way.ĭatabase templates in Azure Synapse are industry-specific schema definitions that provide a quick method of creating a database known as a lake database. The challenge is to bring all this data together in a standardized format enabling it to be more easily analyzed and understood and for ML and AI to be applied to it.Īzure Synapse solves this problem by introducing industry-specific templates for your data, providing a standardized way to store and shape data. Most of this data is currently stored in data lakes or in application-specific data silos. One of the challenges that users in key industry areas face is how to describe and shape the mass of data that they are gathering. Azure Synapse brings these worlds together with a unified experience to ingest, explore, prepare, manage, and serve data for immediate BI and machine learning needs. It gives you the freedom to query data on your terms, using either serverless or dedicated resources-at scale. Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics.
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