Microsoft SQL Server

relational database, microsoft, enterprise
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626

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584

Back in the day, when data resided in files and accessing it felt like an archaeological dig, Microsoft SQL Server emerged as a beacon of structured order. It promised to tame the chaos, offering relational database management with a GUI that even a marketing executive could navigate. Quite clever, really, though one does wonder if all those wizards actually saved time.

The reality? It's a robust, occasionally Byzantine system. While it delivers on its promises of scalability and data integrity, achieving that nirvana often involves endless indexing, stored procedure tweaking, and a deep understanding of execution plans. Compared to the open-source alternatives like PostgreSQL, it’s a decidedly proprietary beast, locked into the Microsoft ecosystem. Still, countless enterprises – particularly those already steeped in .NET – rely on it to power their critical applications. It's a workhorse, undeniably, even if it occasionally throws a tantrum.

Used together with SQL Server

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626

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Jobs in using Microsoft SQL Server for but please no

data engineer

【EDH】 デジタルエンジニア職 EYデジタルハブ採用 @ ernstandyoung

JP | 2025-12-26
EY Digital Hub Tokyo is seeking digital engineers and senior digital engineers for client-facing work across requirements definition, design, development, testing, deployment and ongoing support... read more »
Azure, SaaS, CRM, Microsoft, ERP, Marketing, API, Cyber Security, AI/ML, DWH, Data Lake, BI, Java, JavaScript, React, C, Python, SQL Server, PostgreSQL, MySQL, SAP, DevOps, CDP, Management
data engineer

Senior Data Engineer @ bain-and-company

JP | 2025-12-26
Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the... read more »
AI/ML, Analytics, Management, Data Engineering, Data Science, Cloud Computing, Python, Scala, C, C++, Java, Go, Airflow, Beam, SQL, NoSQL, Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, ELK, Hive, Apache HBase, Teradata, Cassandra, Redshift, AWS, Azure, GCP, Kubernetes, Terraform, DevOps, CI/CD, GitHub, Computer Science, Agile/Scrum