Securely integrate Azure Synapse Analytics with Salesforce
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.
Salesforce is a CRM service that provides access to all sorts of useful data by logging and collecting customer interactions, regardless of where they take place. Whether it’s a phone call, a website transaction, or a post on social media, Salesforce can offer instant customer data, which allows for faster, more informed decisions when running a business.
Popular Use Cases
Bring all your Salesforce data to Amazon Redshift
Load your Salesforce data to Google BigQuery
ETL all your Salesforce data to Snowflake
Move your Salesforce 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.
Salesforce's End Points
Track valuable Salesforce lead information like who your leads are, their contact information, where they were first met and their contact status.
Store a Salesforce contact’s name, mailing address and email, along with the date they were last contacted and the date they should be contacted again.
Create a Salesforce account for any business or person that it may be useful to track. hen, use that account number to integrate and track any other important information associated with that account holder.
Create a Salesforce opportunity when there is a sale - or a potential sale - by one of your accounts. Then, connect them to leads, contacts, and accounts to provide analysis for how profitable certain business ventures and campaigns are.
Track a product’s name, description and category. Then, use a Salesforce product code to search for the product internally, track its progress, or incorporate new data regarding the product.
Track things like the budgeted cost and the actual cost of a campaign in Salesforce. Then, access fields - like how many leads were converted, new opportunities, expected revenue, etc. - that help you track how effective the campaign was.
Schedule events in Salesforce that are designed to help a business develop customer relationships and keep track of logistical data. You can also track if this event is related to a specific lead, contact, or opportunity.
Salesforce Custom Objects
Create Salesforce custom objects specific to your company’s needs that better manage what types of data you collect from your interactions and data sources. You can either create a wholly new custom object in which you define all the parameters, or you can customize a standard object to better fit your needs.