Microsoft SQL Server is a relational database management system, or RDBMS, that supports the impact of transaction operations, business intelligence and analytics in corporate IT environments. It is one of the three market-leading database technologies, along with Oracle Database and IBM DB2. Like another RDBMS software, Microsoft SQL Server is based on SQL, a database standardized programming database and querying the data they contain. SQL Server is linked to a Transact-SQL (T-SQL), a Microsoft SQL implementation that adds a series of programming extensions that are proprietary to the standard language.

Security & Compliance: Protect data at rest and in motion with a database that has the least vulnerabilities of any major platform for six years running in the NIST vulnerabilities database. Security innovations in SQL Server 2017 help secure data for mission-critical workloads with a layers of protection security approach, adding Always Encrypted technology along with row-level security, dynamic data masking, transparent data encryption (TDE), and robust auditing.

The business intelligence helps you scale your business intelligence models, enrich your data, and ensure quality and accuracy with a complete BI solution. SQL Server Analysis Services help you build comprehensive, enterprise-scale analytic solutions benefiting from the lightning-fast performance of in-memory built into the tabular model. You can build intelligent applications with SQL Server Machine Learning Services using R and Python. Move beyond reactive and into predictive and prescriptive analytics by performing advanced analytics directly within the database. By using multi-threading and massively parallel processing, you’ll gain insights faster than using open source R and Python alone.

HTTP is a protocol that works with a client / server architecture. The client makes a request, and the server returns the response. In common use, the client corresponds to the browser and server the machine on which the website resides. There are therefore, two types of HTTP messages: request messages and reply messages.

HTTP differs from other layers seven protocol such as FTP, because connections are generally closed once a particular request (or a series of related requests) has been met.

This behavior makes the HTTP protocol ideal for the World Wide Web, where the pages very often contain links to pages hosted by other servers thus decreasing the number of active connections limiting them to those actually needed with an increase in efficiency (lower load and occupancy) both on the client and on the server. However, sometimes it poses problems for web content developers, because the stateless nature of the browsing session forces to use alternative methods (typically based on cookies) to preserve the user's status.

What you can do with Microsoft SQL Server and HTTP Request (GET/POST)

Create new HTTP Request (GET/POST) leads with Microsoft SQL Server

Update HTTP Request (GET/POST) leads with Microsoft SQL Server

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LeadsBridge is a set of automation tools designed to integrate businesses' assets with the most popular advertising platforms and lead generation tools.

Thanks to its cutting-edge technology, LeadsBridge allows companies to securely sync data to/from over 370 CRMs and custom solutions, avoiding any type of marketing interruptions and manual work.

 

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