Securely integrate Azure Synapse Analytics with CleverTap
About Azure Synapse Analytics
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.
CleverTap allows users to analyze both business analytics and user engagement on one single platform. This gives CleverTap users insight into app user activity, allowing them to see where users have taken action, what information they find compelling, and where they drop off. This information can help businesses improve their long-term strategies, running clever campaigns, sending personalized push notifications, and creating both triggered and scheduled marketing campaigns.
Popular Use Cases
Bring all your CleverTap data to Amazon Redshift
Load your CleverTap data to Google BigQuery
ETL all your CleverTap data to Snowflake
Move your CleverTap data to MySQL
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Azure Synapse Analytics's End Points
Azure Synapse Business Intelligence, Machine Learning, and Data Analytics
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.
Azure Synapse Unified Analytics
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.
Azure Synapse Cloud-Native HTAP Implementation
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 Programming Language Compatibility
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 Serverless On-Demand or Provisioned Resources
Azure Synapse lets you query data with provisioned or serverless on-demand computational resources.
Azure Synapse Compatibility With Azure, Microsoft, and Open Data Initiative Services
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.
Azure Synapse Workload Optimization
Microsoft Azure Synapse makes it easy to optimize your query performance through limitless concurrency, workload isolation, workload management.
Azure Synapse Advanced Security and Privacy
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.
Azure Synapse Compliance Certifications
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.
CleverTap's End Points
Gather data about cohorts, or groups of users who have taken certain actions in your app. Measure retention, engagement and a variety of business metrics for a cohort of users on a daily, weekly and monthly basis.
Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.
Gather segmentation data that is filtered based on an array of properties, such as past behavior and profile attributes. Then, use that filtered data to get deeper, more detailed analytics into your product performance or to reach users with personalized, contextualized messaging.
CleverTap People Analytics
Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.
CleverTap API Endpoints
Use CleverTap’s APIs for events, user profiles, dashboard counts and push notifications to filter your data and gather key insights.
Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, feed that data into your analytics to provide a more comprehensive view of your retention trends over time.