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.
LinkedIn is a business and employment-oriented social network that allows users to build profiles, connect with others, and share relevant information. One of the biggest social networks, it is primarily used for professional networking, online recruiting, and to seek employment.
Popular Use Cases
Bring all your LinkedIn data to Amazon Redshift
Load your LinkedIn data to Google BigQuery
ETL all your LinkedIn data to Snowflake
Move your LinkedIn data to MySQL
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.
LinkedIn's End Points
Get a detailed overview of organizations and search across organization profiles by industry, location, size, and more. This can help you understand your demographics and send targeted, accurate communications.
With this API, you can use LinkedIn to quickly sign in to other applications, with access to your name, photo, headline, and email address. Also easily connect to 1st degree connections and discover 2nd degree connections, thereby maintaining your networks and keeping your contacts across platforms.
Retrieve recommended jobs, search through LinkedIn jobs, and enable people to save jobs on their account.
Manage and promote your ads on LinkedIn, thereby raising brand awareness, building relationships, and driving quality leads.
LinkedIn Share and Social Stream
Share your content and insights through your professional network, distributing it via the network update stream. This stream has all of the content and changes happening in your 1st and 2nd degree networks, offering a place where you can widely distribute information and expand your influence.