As a #CTO, you know that your #IT #infrastructure depends on #database performance. Yet it’s astonishing how many organizations neglect to track their DB performance metrics properly.
If preventing disruptions for your end users is important to you, you need to be looking at both your key metrics and common problems in a systematic, resilient, and structured way.
This is what the most recent #BitWiseMnM #CTORoundTable focused on: How can you tackle a really complex problem?
At #BitWiseMnM, we emphasize three qualities:
1) Attention to detail (How does a busy CTO create the space to focus?)
2) Proper, practical #categorization (Can your #DBA follow your naming conventions?)
3) Resourcefulness (If all else fails, is there a method for problem-solving?)
So what prevents proper, practical categorization when solving database problems?
- Lack of clear understanding of the problem domain: When the problem domain is not well understood, it can be difficult to categorize the data in a meaningful way. Without a clear understanding of the domain, the categories may not align with the actual business requirements and could lead to a database design that is difficult to use or maintain.
- Insufficient analysis: Insufficient analysis of the data and its relationships can also lead to poorly defined categories. When relationships between data are not properly understood, categories can be over-generalized, leading to a lack of detail or specificity.
- Over-categorization: Over-categorization can lead to a database design that is too complex and difficult to manage. When there are too many categories, it can be difficult to maintain consistency and ensure that the data is correctly classified.
- Lack of standardization: Lack of standardization in data naming conventions can make it difficult to categorize data in a meaningful way. When there are multiple naming conventions or different ways to represent the same data, it can be difficult to maintain consistency in categorization.
- Changing requirements: Changing requirements can also make it difficult to create practical categories. If the requirements change frequently, it can be difficult to create a database design that accommodates all possible scenarios.
At #BitWiseMnM, we address these challenges by having a clear understanding of the business requirements, performing thorough analysis of the data and relationships, neither over- nor under-categorizing, establishing and following standard naming conventions, and by creating a flexible database design that can accommodate changing requirements.
Of course, if all else fails, you can always try a preventative approach and call #BitWise before you have an issue. That’s what our #training programs are all about — and they’re definitely not one-size-fits-all.
We like people, so feel free to call or write. Humans only.
