| 🔐 ACID | A reliable bank transfer: all or nothing. | Atomicity, Consistency, Isolation, Durability. | PostgreSQL, Oracle |
| 🧪 AI/ML Scenario Blueprint | Design your model’s storyline. | Scenario framing with goals, data, stakeholders. | Whiteboard decks, ML canvas |
| 🌀 AI/ML Cloud Blueprint | End-to-end cloud ML pattern. | Includes ingestion, training, inference, monitoring. | Databricks, SageMaker |
| 🤖 Applied AI/ML | Useful models—not just hype. | Deployed, monitored models solving real tasks. | MLflow, dashboards |
| 🧘 BASE | Looser than ACID, good enough for now. | Basically Available, Soft state, Eventual consistency. | Cassandra, Couchbase |
| 🏢 BSS | Billing, CRM, and commercial bits of telecoms. | Handles billing, orders, customer relationships. | Salesforce, Amdocs |
| ⚖️ CAP Theorem | You can’t have all three: C, A, P. | Only two of Consistency, Availability, Partition Tolerance possible. | DynamoDB, HBase |
| 🔄 CRUD Mapping | Who can do what to which data? | Create, Read, Update, Delete lifecycle mapped to business ops. | APIs, Integration specs |
| 📘 Data-Centric Thinking | Design around trustworthy data. | Data-first design with governance, semantics, CRUD. | Star schemas, canonical models |
| 🧳 Data Passport | A metadata ID card for your dataset. | Classification, ownership, retention, lineage. | Unity Catalog, Collibra |
| 🔍 Data Quality Gates | Stop dirty data before it hurts. | Validation rules before model input or output. | Great Expectations, Airflow |
| 🧭 Data Blueprint | Data’s playbook—what, why, and how. | Entity models, flows, CRUD, governance overlays. | DFDs, semantic maps |
| 📐 Feature Engineering Blueprint | Prepping inputs for model cooking. | Transforms, feature store logic, encoding patterns. | MLflow, Delta Lake |
| 👥 Federated Governance | Central rules, local control. | Global policies with domain-led stewardship. | Data Mesh, Unity Catalog |
| 🏥 Healthcare Scenario | AI/ML for triage, diagnostics, operations. | Domain-specific models with clinical framing. | NHS dashboards |
| 🔁 Iterative Delivery | Work in slices. Rinse and repeat. | Sprint-based delivery in architecture and data. | Scrum, Kanban |
| 🔍 Lineage | Where data came from, who touched it. | End-to-end trace of transformations and movement. | Unity Catalog, Informatica |
| 🗂️ Master Data | Core entities reused everywhere. | High-value shared business objects. | SAP MDG, Oracle DRM |
| 📊 Model Monitoring | Keep your model honest and fresh. | Track drift, bias, performance. Trigger retrain. | MLflow, Prometheus |
| 🧱 Databricks | Lakehouse Swiss Army knife. | Platform for streaming, batch, ML, SQL. | Unity Catalog, AutoLoader |
| ❄️ Snowflake | Elastic cloud data warehouse. | Shared-data architecture with compute scale-out. | Time Travel, Streams |
| 🐙 Kraken | The digital engine room behind smart energy retailers—fast, flexible, and surprisingly human for a platform. | Cloud-native SaaS by Kraken Technologies for energy providers, covering billing, CX, and smart grid ops with scalable API-first architecture. | Octopus Energy, E.ON Next, Kraken Flex |
| 🛠️ OSS | The engineers of the telco stack. | Manages provisioning, monitoring, repair workflows. | ServiceNow, Netcool |
| 🏛️ ERP | Business HQ: finance, HR, logistics. | Integrated suite for core enterprise functions. | SAP, Oracle, Dynamics |
| 📋 RAID Log | Your project stress list: risks, issues, etc. | Tracks Risks, Assumptions, Issues, Dependencies. | Excel, PMO packs |
| 🧾 Universal Journal | SAP’s all-in-one accounting ledger. | Table ACDOCA capturing all line items in S/4HANA. | SAP S/4 Finance |
