Find your next tech and IT Job or contract Microsoft SQL Server
What you need to know about Microsoft SQL Server
Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft, designed to store, manage and analyze data. It offers advanced features for transactions, analytics, and decision-making processes, while ensuring database security and performance. SQL Server supports various types of data and applications, ranging from real-time transactional systems to data warehouses for reporting. It integrates seamlessly with Microsoft tools like Power BI and Azure, providing a complete solution for cloud, hybrid or on-premises environments. Thanks to its features such as in-memory query processing, Analysis Services (SSAS) and Integration Services (SSIS), SQL Server is widely used in businesses to manage critical applications and complex data management projects.
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DEVELOPPEUR WINDEV
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DBA MS SQL server
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Expert technique Oracle - Minimum 10 ans d'exp
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Systems Developer
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Contract roles and jobs for Microsoft SQL Server
Database Administrator (Oracle, Sybase, SQL Server…)
The Database Administrator (Oracle, Sybase, SQL Server...) manages and optimizes SQL Server databases, ensuring their performance, security, and availability.
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Find out the jobsData Analyst
The Data Analyst uses SQL Server to query databases and transform data into actionable insights.
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Find out the jobsDatabase Developer (SQL, PL/SQL, Oracle...)
The Database Developer (SQL, PL/SQL, Oracle...) designs and develops queries, stored procedures, and databases on SQL Server to meet business needs.
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Find out the jobsBusiness Intelligence Consultant (PowerBI, SAS, Tableau...)
The Decision Support / Business Intelligence Consultant (PowerBI, SAS, Tableau...) uses SQL Server to extract, transform, and load data (ETL) and develop BI solutions tailored to businesses.
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Find out the jobsResearch Engineer
The Research and Development Engineer contributes to the design and development of software solutions by integrating SQL Server databases to manage data efficiently.
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