Databricks Champion
Field Guide
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Cloud
Definition: Cloud Computing is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: IaaS is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: PaaS is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: SaaS is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Region is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Availability Zone is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Scalability is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Elasticity is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: High Availability is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Disaster Recovery is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Multi-cloud is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Hybrid Cloud is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Cloud
Definition: Shared Responsibility Model is a foundational cloud concept used in modern data platform design and operations.
Analogy: Like renting utility services in a modern city instead of building each service at home.
Example: A data team scales compute only during nightly processing and scales down after completion.
Related: Azure, Cloud Native, IaC
Networking
Definition: Virtual Network is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: Subnet is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: Public IP is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: Private Endpoint is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: DNS is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: Firewall is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: Load Balancer is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: NAT Gateway is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: VPN is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: ExpressRoute is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: Latency is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Networking
Definition: Throughput is a foundational networking concept used in modern data platform design and operations.
Analogy: Like planning roads, gates, and traffic rules for how data moves between buildings.
Example: A private endpoint is used so a data pipeline accesses storage without public internet exposure.
Related: VNet, Private Link, Firewall
Data Engineering
Definition: ETL is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: ELT is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Data Pipeline is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Batch Processing is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Incremental Load is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Idempotency is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Schema Evolution is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Data Quality is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Data Lineage is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Orchestration is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Partitioning is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Data Lake is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Data Engineering
Definition: Data Warehouse is a foundational data engineering concept used in modern data platform design and operations.
Analogy: Like running a factory line that cleans, packages, and routes raw material into useful products.
Example: An ELT pipeline lands raw data then transforms it into curated analytics tables.
Related: Spark, SQL, Orchestration
Azure
Definition: Azure Data Factory is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Synapse Analytics is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Data Lake Storage is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Event Hubs is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Key Vault is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Monitor is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Managed Identity is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Role Based Access Control is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Functions is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Logic Apps is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Cost Management is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Resource Group is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Azure
Definition: Azure Policy is a foundational azure concept used in modern data platform design and operations.
Analogy: Like using specialized tools from one workshop that are designed to work together.
Example: ADF orchestrates data movement into ADLS, then Databricks transforms it into Delta tables.
Related: ADF, ADLS, Event Hubs
Databricks
Definition: Lakehouse is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Delta Lake is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Delta Table is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Databricks Workspace is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Cluster is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Job Cluster is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Notebook is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Unity Catalog is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Auto Loader is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Photon is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Medallion Architecture is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: Delta Live Tables is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Databricks
Definition: MLflow is a foundational databricks concept used in modern data platform design and operations.
Analogy: Like a central engineering studio where teams build and operate data products together.
Example: Medallion layers in Delta Lake organize raw, refined, and business-ready datasets.
Related: Databricks, Delta Lake, Unity Catalog
Streaming
Definition: Event Streaming is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Kafka Topic is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Producer is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Consumer is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Consumer Group is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Offset is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Structured Streaming is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Windowing is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Watermark is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Exactly Once Processing is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Checkpointing is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
Streaming
Definition: Dead Letter Queue is a foundational streaming concept used in modern data platform design and operations.
Analogy: Like monitoring live traffic instead of waiting for end-of-day reports.
Example: Structured Streaming processes incoming events every few seconds for near real-time dashboards.
Related: Kafka, Event Hubs, Structured Streaming
AI
Definition: Generative AI is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Large Language Model is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Prompt Engineering is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: RAG is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Embedding is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Vector Database is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Model Inference is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Fine-tuning is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Hallucination is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Evaluation Metrics is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: AI Governance is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
AI
Definition: Feature Store is a foundational ai concept used in modern data platform design and operations.
Analogy: Like pairing a smart assistant with a well-organized knowledge library.
Example: A RAG assistant retrieves trusted documents before generating a recommendation.
Related: LLM, Embeddings, Vector Search
Architecture
Definition: Solution Architecture is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Reference Architecture is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Microservices is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Event-driven Architecture is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Domain-driven Design is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: API Gateway is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Observability is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: SLA is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: SLO is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Cost Optimization is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Data Governance is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability
Architecture
Definition: Security by Design is a foundational architecture concept used in modern data platform design and operations.
Analogy: Like designing a city blueprint before constructing roads, utilities, and safety systems.
Example: A reference architecture standardizes security, monitoring, and deployment across projects.
Related: Architecture Patterns, Governance, Observability