// APPLIED PEDAGOGY & SPECIFICATION

Technical Curriculum & Sandbox Infrastructure

Authentic database engineering cannot be taught with passive video tutorials. Every module is paired with practical laboratory exercises running against dedicated cloud database clusters.

// LAB ARCHITECTURE

Dedicated Multi-Cluster Sandbox Pods

Upon enrollment, each student is provisioned with private cluster access to real enterprise engines. You practice live queries, diagnose deliberate performance regressions, and execute complex schema diffs without touching your company's production systems.

PostgreSQL 16 Enterprise Cluster: 35+ relational tables, JSONB document fields, partitioning, and complex multi-join schemas.
MySQL 8.4 InnoDB Sandbox: Master-replica configurations, foreign key dependency trees, and transaction isolation tests.
SSH Bastion Jump Gateway: Isolated Linux bastion for practicing RSA/Ed25519 authentication, key agents, and VPC port forwarding.
50,000,000+ Row Analytical Warehouse: Realistic telemetry datasets for profiling execution costs, buffer hits, and index strategies.

TOPOLOGY // SANDBOX-SPEC.YAML

VPC: US-EAST-IL

# Frankscott Platform Learn Student Sandbox Pod

cluster_identity: "fpl-cohort-sandbox-pod-07"

services:

bastion_gateway:

image: fpl/ssh-jump-bastion:2026.1

protocol: strict-ed25519-tls

postgresql_primary:

engine: PostgreSQL 16.2

dataset: enterprise_erp_v3 (14.2 GB)

snowflake_dw_emulator:

engine: Cloud Analytical Columnar

scale_factor: 50M records

# Status: All endpoints validated • SSL mutual TLS active

>> Ready for DBeaver Client Connection via SSH Tunnel

4 DBs

Per Student Pod

99.98%

Uptime SLA

Zero Risk

Isolated VPC

// SYSTEMATIC 8-WEEK ROADMAP

The Complete Laboratory Syllabi

Each week targets concrete operational skills verified by practical lab deliverables.

WEEK 01 • CONNECTION ARCHITECTURE & CLIENT SETUP 6 LAB HOURS

Universal JDBC Drivers, Memory Profiling & Interface Mastery

Configure Java Database Connectivity (JDBC) for PostgreSQL, MySQL, SQLite, and cloud data warehouses. Optimize client JVM memory thresholds (dbeaver.ini tuning) to avoid garbage collection freezes during large bulk result set fetches.

Lab Exercise 01: Establish zero-trust mutual TLS connections to a secured PostgreSQL cluster; configure JDBC connection pooling and client-side statement timeouts.

WEEK 02 • HIGH-VELOCITY SQL WORKSPACE 6 LAB HOURS

Keyboard-First Editor, Templates, Parameters & Script Governance

Master parameterized queries (:client_id), script bookmarks, transaction-aware execution shortcuts, and custom snippet templates. Manage complex analytical query files with Git integration directly inside DBeaver.

Lab Exercise 02: Construct a multi-tenant dynamic parameter template library and refactor a legacy 400-line reporting script into modular CTE blocks.

WEEK 03 • SECURITY, TUNNELS & TRANSACTION SAFETY 8 LAB HOURS

Multi-Hop SSH Bastions, Key Agents & Commit Failure Safeguards

Establish SSH port forwarding through intermediate jump boxes with Ed25519 key authentication. Eliminate accidental data overwrites through DBeaver’s Smart Auto-Commit modes, Connection Types (Development vs Production flags), and read-only connection locks.

Lab Exercise 03: Route DBeaver connections through a two-hop bastion architecture; configure production safeguards and simulate recovery from an aborted multi-table transactional deadlock.

WEEK 04 • QUERY DIAGNOSTICS & VISUAL EXECUTION PLANS 8 LAB HOURS

EXPLAIN ANALYZE, Cost Vectors, Join Algorithms & Memory Spills

Deconstruct execution trees node by node using DBeaver’s visual explain graph. Identify sequential scans, nested loops vs hash joins, work_mem exhaustion, and disk-spill sorting bottlenecks on high-volume production datasets.

Lab Exercise 04: Profile an unindexed 15-million-row order-ledger query, diagnose a 28-second disk spill, and optimize query latency below 25ms using targeted partial indexes and hash join restructuring.

WEEK 05 • SCHEMA ARCHITECTURE & REVERSE-ENGINEERED ERDS 6 LAB HOURS

Automated Entity Modeling, Schema Diffing & Migration Scripts

Generate interactive ER diagrams from existing schemas, trace foreign key constraint paths, compare schema structural differences between development and staging environments, and generate idempotent DDL synchronization scripts.

Lab Exercise 05: Reverse-engineer an unfamiliar 45-table schema, identify missing foreign key indexes, and generate a migration DDL script to sync staging to production schema state.

WEEK 06 • ETL PIPELINES & MOCK DATA GENERATION 6 LAB HOURS

Cross-Database Data Transfers, Column Transformations & Synthesis

Transfer tables between heterogeneous database engines (e.g., MySQL to PostgreSQL or SQLite to Snowflake) using DBeaver’s integrated data transfer engine. Configure data transformations, column mapping, and synthesize mock data for privacy-compliant testing.

Lab Exercise 06: Migrate a customer database with 100,000 records between two distinct database engines with data type mappings, and generate 500,000 synthetic test transactions.

View Tuition & Register for Cohort →