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.
Hubspot’s services are centered around sales and marketing tools that help a company refocus their marketing efforts into inbound marketing. With Hubspot, a company can create content that attracts leads that are already interested in that company’s products and services. Then, users can take advantage of Hubspot’s marketing tools to collect contact information and customize visitors’ experiences so that they are more likely to make the conversion from interested leads into happy customers.
Bring all your HubSpot data to Amazon Redshift
Load your HubSpot data to Google BigQuery
ETL all your HubSpot data to Snowflake
Move your HubSpot 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.
See information on your various email campaigns and judge their large-scale success based on the status of the emails in that campaign i.e.how many emails were sent, delivered, opened, etc.
Retrieve basic contact information like name, e-mail, unique ID, etc. This allows you to track those contacts in a number of other fields, which will help you score leads and gauge how effectively your customer interactions are translating into sales.
Group your contacts together automatically based on a set of criteria - such as their lifecycle stage - or add them to a list manually. Then, use those lists to design targeted customer interactions, such as email campaigns.
Track the status of various email subscriptions through a range of data, including who is subscribing, when emails are being sent and how the recipient is responding to the emails i.e.remaining subscribed, unsubscribing, reporting the email as spam, etc.
Observe the activity on an individual email event. You can track the recipients and campaigns that those events are linked to and then see how the recipients interacted with the event i.e. if they opened the email, printed it, marked it as spam, forwarded it, etc.
Create a company entity in Hubspot by providing details, such as name, ID, and relevant description. You can access that company record to maintain and retrieve related data (such as associated contacts) which can then be tracked, analyzed, and/or integrated with other data sources.
Track the progress of a deal in your HubSpot pipeline, allowing you to see which contacts and companies are associated with the deal, what pipeline the deal belongs to, and its current stage in the pipeline.