Azure Synapse Analytics is the next incarnation of Azure SQL Data Warehouse from Microsoft. Like SQL Data Warehouse, Azure Synapse Analytics is a cloud-based, relational data warehouse system with MPP (massively parallel processing), virtually unlimited scaling capacity, and the power to process and store petabytes of data. The difference is that Azure Synapse Analytics has added business intelligence, machine learning, and other advanced features to its data warehousing profile. Microsoft has also boosted the platform's capacity to ingest, transform, manage, and process larger volumes of relational and non-relational data faster and more efficiently.
Zuora is a subscription management tool that allows companies to manage every aspect of their subscription business and automate their customer lifecycles - all from a single platform. This allows businesses to keep up with fast-changing market strategies and maintain their ongoing subscriber relationships.
Bring all your Zuora data to Amazon Redshift
Load your Zuora data to Google BigQuery
ETL all your Zuora data to Snowflake
Move your Zuora data to MySQL
In addition to serving as a powerful, scalable, cloud-based data warehouse, Azure Synapse adds advanced business intelligence and machine learning data analytics to its list of services.
Whether you need a non-relational data lake, relational data warehouse, or a combination of both, Azure Synapse integrates the two and lets you query the data in SQL while serving as a unified, end-to-end analytics solution. Within a single workspace, Azure Synapse allows you to achieve your data warehousing, data preparation, data management, AI, machine learning, and business intelligence goals. Access all of your data and create stunning dashboards with Power BI via a single interface.
With Azure Synapse Link, cloud-native HTAP implementation allows you to integrate Azure Synapse with Azure databases to extract near real-time insights from operational databases. This allows Azure Synapse to extract machine learning and business intelligence analyses from live data without disrupting the transactional performance of operational systems.
Azure Synapse allows your team to work with their preferred language. Whether it's T-SQL, Scala, Spark SQL, Python, or .Net, Azure Synapse is compatible with your language of choice while using either provisioned or serverless processing resources.
Azure Synapse lets you query data with provisioned or serverless on-demand computational resources.
Azure Synapse natively connects with a wide range of Azure and Microsoft services. The platform includes native connectors for Azure Machine Learning, Azure Data Lake, Azure Blob Storage, Azure Active Directory for authentication, and Microsoft Power BI for visualizing data. Azure Synapse also integrates its machine learning and business intelligence tools with Open Data Initiative tools and services. Led by Microsoft, Adobe, and SAP Software solutions, the Open Data Initiative seeks to boost the connectivity and interoperability of cloud-based SaaS services. Open Data Initiative compatible services include the Microsoft Office 365 suite, the Microsoft Dynamics 365 suite, and more.
Microsoft Azure Synapse makes it easy to optimize your query performance through limitless concurrency, workload isolation, workload management.
Azure Synapse offers cutting-edge security and privacy that includes dynamic, real-time data masking, always-on data encryption, automated threat detection, authentication through single-sign-on and Azure Active Directory. The platform also includes access control features like column-level security and native row-level security for additional security and privacy within your team.
In terms of compliance, Azure offers more certifications than any cloud provider to ensure that your data collection and data use practices comply with industry-specific, regional, state, and national compliance standards.
Get details about any payments that were sent to Zuora accounting, including the payment date, amount, and any unique identifiers that are associated with it. This will help you create more detailed and accurate sales analytics.
Retrieve data about any accounts that you have in Zuora - bank accounts, CRM, ERP - including the account’s name, ID, type, and description. Then, integrate this data with other endpoints to track income and expense details for each account. This will provide you with a more comprehensive understanding of your company’s overall performance.
Automate even the most complex revenue processes and accurately account for all of your business costs in order to have comprehensive accounting and more accurate reporting, forecasting, and projections.
Track which clients are subscribed to which plans, as well as when they subscribed, when they canceled, and how many users they are subscribed with. This field also allows you to track charges associated with those subscriptions so that you can monitor the revenue that they generate.
Track all bank transactions that are captured by Zuora, including both payments that you have received and business expenses that you have paid. Then, use that data to gain a better understanding of your finances. Specifically, look at details gathered from those transactions - such as the bank account IDs, transaction dates, amounts paid, and type of transaction - to better understand your finances and see if any changes need to be made.