How wafiazizi702/dbadmin works
This repository is a collection of database administration guides and training material, organized by platform rather than a single deployable application. The main workflow is for an administrator to choose a database platform from the top-level README and consult its guides. MSSQL also contains a Databricks notebook demonstrating data ingestion, transformation, and output to lake, SQL, and Delta destinations. The platform links are explicit in the README; notebook interactions are supported by its excerpt. Other guide internals are not shown, so their relationships are not inferred.
Main entry points: README.md Platform catalog · Databricks 101 - Github Ready.py Databricks notebook · Oracle/README.md Oracle guides · MSSQL/README.md MSSQL guides
Components 16
Database platforms
- Oracle guides
Oracle/README.md - MSSQL guides
MSSQL/README.md - Postgres guides
Postgres/README.md - KeyDB / Redis
Redis_KeyDB/README.md - MongoDB guides
MongoDB/README.md
MSSQL guides
- Always Encrypted
MSSQL/Contents/AlwaysEncryptColumn2022/README.md - Availability groups
MSSQL/Contents/AlwaysOnAvailabilityGroup/README.md - Backup and recovery
MSSQL/Contents/MSSQL219/Backup_and_Recovery/README.md - Security architecture
MSSQL/Contents/MSSQL219/Security_architecture/README.md
Analytics example
- Databricks notebook
MSSQL/Contents/Trainings/blog/Databricks 101/Databricks 101 - Github Ready.py
External data services
- Azure Data Lake
- Spark
- Azure SQL
- Delta / DBFS
Other components
- Administrator
- Platform catalog
README.md
Connections 10
- Administrator → Platform catalog: browses
README.md - Platform catalog → Oracle guides: links to
README.md - Platform catalog → MSSQL guides: links to
README.md - Platform catalog → Postgres guides: links to
README.md - Platform catalog → KeyDB / Redis: links to
README.md - Platform catalog → MongoDB guides: links to
README.md - Databricks notebook → Azure Data Lake: reads and writes
MSSQL/Contents/Trainings/blog/Databricks 101/Databricks 101 - Github Ready.py - Databricks notebook → Spark: uses
MSSQL/Contents/Trainings/blog/Databricks 101/Databricks 101 - Github Ready.py - Databricks notebook → Azure SQL: writes to
MSSQL/Contents/Trainings/blog/Databricks 101/Databricks 101 - Github Ready.py - Databricks notebook → Delta / DBFS: writes to
MSSQL/Contents/Trainings/blog/Databricks 101/Databricks 101 - Github Ready.py