My TL;DR style notes from articles I read today.
A one size fits all database doesn’t fit anyone
When to consider what type of database:
Relational: when referential integrity with strong consistency is needed.
Key-value: when access patterns require low-latency Gets/Puts for known key values.
Document: when you want developers to use something intuitive.
Graph: when working with highly connected datasets.
In-memory: when you need microsecond response times and expect large spikes in traffic coming at any time.
Search: when you need to index and search semi-structured logs & data.
Full post here, 7 mins read
Bad Practices in Database Design: Are You Making These Mistakes
- Ignoring the purpose of the data
- Poor normalization
- Redundancy
- Bad Referential Integrity
- Not Taking Advantage of DB Engine Features
- Poor Indexing & Naming Conventions
Full post here, 9 mins read
Efficient Software Project Management at its Roots
Common patterns in software projects that are more successful than others:
- Clarity & alignment right from the start on why is the project being taken up, how will the team get it done and what role will each individual play
- Setting milestones that verify if the team is making progress in the right direction or not
- Regular updates with 100% transparency about where each individual and the team really is in the development cycle
- Dependency & risk management in a pragmatic way
Full post here, 8 mins read
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