Generate more leads with the CSV Online File + Microsoft SQL Server integration

A CSV file is a type of file used to store your contacts data from different sources, such as your email marketing software, CRM, etc. For example, by downloading a CSV file of your leads, you can upload these data on other tools in order to better manage your follow up and sales processes. CSVs contain information separated by commas, saved in a .csv format.

CSV files can be used with any spreadsheet program, such as Microsoft Excel, Open Office Calc, or Google Spreadsheets. However, with CSVs you can’t define or save cells, columns, or rows. Moreover, you can’t save formulas.

CSVs are also used for managing ecommerces for importing and exporting product, customer, and order information.

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.