SQL code review is a specialized service designed to ensure that all SQL code—embedded or standalone—complies with industry best practices and vendor recommendations. This code must be free from bad practices and any improper logic. It should be high-performing and ideally consume the least possible system resources. Our mission is to deliver secure, audited, and highly performant code to our clients.
Queries (SELECT statements) on large and/or highly concurrent databases are often challenging. When they are complex or poorly written, they can become an additional source of headaches—either due to the large volume of data being processed or the excessive resource consumption. We focus on optimizing these queries by improving execution plans and applying techniques aimed at reducing their “cost” (resource usage).
We consider embedded code to include procedures and functions that contain part of the application’s logic, business rules, or simply serve as support repositories. In addition to optimizing the code, we also verify whether it complies with the data access policies established by the Data Governance area (either Corporate or IT), and ensure that it contains no bad practices (easter eggs) or illegal elements (fraud).
Triggers and constraints are two valuable resources for reinforcing referential integrity and automating on-the-fly tasks. Jobs, on the other hand, complete the automation of batches and scheduled activities. Both combine SQL with specific functions and features of each database system. We will assess the efficiency, security, and performance of these resources. The goal is to deliver faster, lower-resource-consuming objects that are in compliance with the application’s or company’s objectives.
Poorly defined maintenance plans lead to incoherent routines that consume excessive resources in SQL code, causing disruptions in data processing. On the other hand, overly weak (or nonexistent) plans often fail to manage expired data or outdated statistics, resulting in degraded execution plans (QEP). Based on the analysis of data consumption, concurrency, and business rules, we develop coherent maintenance plans that contribute to the overall health and performance of your databases.
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