🗄️ database management · 4‑col

Organize, store & retrieve data efficiently — requirements & support

requirements SQL/NoSQL backup & recovery 4‑column

client requirements · database foundation

data modeling

ER diagrams, schema design, normalization, relationships.

model

SQL & NoSQL

PostgreSQL, MySQL, MongoDB, Cassandra – fit for purpose.

choose

indexing & performance

Query optimization, execution plans, covering indexes.

optimize

backup & recovery

Automated backups, point‑in‑time recovery, DR testing.

protect

high availability

Replication, clustering, failover, load balancing.

ensure

security & encryption

TDE, SSL/TLS, row‑level security, auditing.

secure

data integration

ETL pipelines, CDC, streaming, data lakes.

integrate

data governance

Data quality, lineage, compliance (GDPR, CCPA).

govern

ongoing database support

DBA administration

User management, storage, maintenance jobs, health checks.

admin

performance tuning

Slow query analysis, index tuning, vacuum/optimize.

tune

backup verification

Regular restore tests, integrity checks, validation.

verify

monitoring & alerts

Disk space, connections, deadlocks, replication lag.

watch

version upgrades

Major/minor upgrades, migration testing, rollback.

upgrade

DR drills

Failover testing, runbook validation, RTO/RPO exercises.

drill

database training

SQL, query writing, administration, best practices.

train

data strategy

Tech selection, migration, data architecture roadmap.

advise

optimize your data management

DBA · backup · performance · 24/7 monitoring