If you have ever tried to speed up a slow query, someone has probably told you to “just check the execution plan.” Sound advice, but if you have never read one before, the output can look like an alien language. This article breaks down what execution plans are, how to make sense of them, and how modern tooling can take much of the pain out of the process.
In a world where data drives decisions at every level of an organization, knowing where your data came from and how it has changed over time is no longer a luxury - it's a necessity. Yet many database teams still operate without any formal approach to data lineage or traceability, leaving them exposed to compliance risk, debugging nightmares, and a general lack of trust in the data itself. This article explores what data lineage and traceability actually mean, why they matter, and how to build them into your database practice.
One of the most enduring debates in software architecture is deceptively simple to state but genuinely difficult to resolve: when you have a business rule to enforce, should it live in the database as a stored procedure, or in your application code? The answer shapes how your system is tested, maintained, scaled, and evolved. As we'll see in today's blog entry, it's a question that's worth thinking through carefully.
Developer productivity tools have quietly shaped how software gets built. What began as simple utilities for tidying up messy code has evolved into AI-powered assistants capable of understanding intent, fixing bugs, and explaining complex logic — all in real time. Tracing this evolution reveals not just how tools have changed, but how our expectations of them have grown.
A well-maintained shared query library is one of the most underrated assets a DBA team can have. When everyone on the team is pulling from the same vetted, documented pool of SQL, you eliminate duplicated effort, reduce the risk of logic errors creeping into production, and make onboarding new team members dramatically faster. But building and sustaining a shared library takes more than just dropping .sql files into a shared folder. Here's how to do it properly.
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- May (1)
- Reading Execution Plans Without the Headache
- The Case for Data Lineage in Your Database
- Stored Procedures vs. Application Logic: Where Should Business Rules Live?
- From SQL Beautifiers to Intelligent Autocomplete: A History of Developer Productivity Tools
- How to Manage Shared Query Libraries Across a DBA Team
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- The Hidden Costs of Cloud Database Services (and When On-Prem Makes More Financial Sense)
- How AI Code Completion Is Changing the Way DBAs Write SQL
- Role-Based Access Control in Database Environments: Getting It Right
- On-Prem vs. Cloud Database Hosting: How to Choose the Right Approach for Your Organization
- Getting Started with AI Assistants in Navicat On-Prem Server 3.1
- SQL vs. NoSQL: Choosing the Best Fit for Your Project
- February (1)
- What Metrics Actually Matter in Database Monitoring
- A Practical Guide to Database Transaction Isolation Levels
- Database Connection Pooling Explained
- Managing Database Credentials Securely
- Building Resilient Database Architectures
- The Future of Database Licensing Models: Navigating the Shift in How We Pay for Data Infrastructure
- January (1)
- Harnessing PostgreSQL Power: An Introduction to Supabase
- The ROI of Database Automation: Quantifying the Business Value of Automated Tuning, Patching, and Optimization
- Database Observability: The New Frontier in Performance Management
- The Database Skills Gap Crisis: Navigating the Shortage of Database Professionals
- The Economics of Multi-Cloud Databases
- May (1)
- 2025 (1)
- December (1)
- November (1)
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- August (1)
- Going Beyond Basic Monitoring with Modern Database Observability Platforms
- Privacy-Preserving Databases: Protecting Data While Enabling Access
- Privacy-Preserving Databases: Protecting Data While Enabling Access
- Privacy-Preserving Databases: Protecting Data While Enabling Access
- A Guide to Database Sharding as a Service
- July (1)
- June (1)
- The Rise of Embedded AI/ML Capabilities in Modern Databases
- Immutable Databases: the Evolution of Data Integrity?
- Seamless Information Access Through Data Virtualization and Federation
- Database DevOps Integration: Bridging the Gap Between Development and Operations
- Navicat Sponsors SQLBits 2025 – Supporting the Future of Data Platforms
- May (1)
- Edge Databases: Empowering Distributed Computing Environments
- The Rise of Low-Code/No-Code Database Interfaces: Democratizing Data Management
- Data Vault 2.0: A Modern Approach to Enterprise Data Modeling
- Streaming-First Architectures: Revolutionizing Real-Time Data Processing
- Navicat Proudly Sponsors PGConf.de 2025 as Silver Sponsor (Two Free Tickets Up for Grabs!)
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