Big data is the result of collecting and managing large amounts of diverse data; data mining is all about searching data for unrecognized patterns.
Big data analysis and data science
by Harihara Subramanian, Anupama Raman, Pethuru Raj
Architectural Patterns
- Preface
- Demystifying Software Architecture Patterns
- Envisioning the software-defined world
- Software patterns
- Software architecture patterns
- Object-oriented architecture (OOA)
- Component-based assembly (CBD) architecture
- Domain-driven design (DDD) architecture
- Client/server architecture
- Multi-tier distributed computing architecture
- Layered/tiered architecture
- Event-driven architecture (EDA)
- Service-oriented architecture (SOA)
- Event-driven service-oriented architecture
- The EDA fundamental principles
- The ED-SOA composite pattern benefits
- Microservices architecture (MSA)
- Event-driven microservices patterns
- Space-based architecture (SBA)
- Combining architecture patterns
- Special-purpose architectures
- Real-time context-aware prediction architecture
- Summary
- Additional reading materials
- Client/Server Multi-Tier Architectural Patterns
- Domain name service (DNS) server and DNS client
- Functional requirements in two-tier client-server patterns
- The three-tier pattern / multi-tier pattern client-server
- Three-tier client-server architecture
- The distributed client-server architecture
- Motivation for development of web application patterns
- The ASP.Net framework
- Design patterns for web application development
- Summary
- Object-Oriented Software Engineering Patterns
- Enterprise Integration Patterns
- Need for integration patterns
- Integration scenarios in enterprises
- Main challenges in enterprise integration
- Getting started with messaging patterns
- Pipe and filter pattern
- Message router pattern
- Message translator pattern
- Message endpoint pattern
- Point-to-point channel pattern
- Publish-subscribe channel pattern
- Datatype channel pattern
- Message bus patterns
- Command message patterns
- Event message patterns
- Request-reply pattern
- Content-based router pattern
- Message filter pattern
- Resequencer pattern
- Polling consumer pattern
- Channel adapter
- Mobile integration pattern
- Request-response pattern
- Defining a push notification pattern
- API management pattern
- Summary
- Domain-Driven Design (DDD) Principles and Patterns
- Enterprise Architecture Platforms and Tools
- Overview of enterprise architecture frameworks
- Getting started with TOGAF
- Architecture development method (ADM)
- Deliverables, artifacts, and building blocks
- Enterprise continuum
- Architecture repository
- Zachman framework for enterprise architecture
- Enterprise architecture platforms and tools
- Enterprise Architect from Sparx Systems
- Dragon1
- ABACUS from avolution software
- Summary
- References
- Service-Oriented Architecture (SOA)
- Event-Driven Architectural Patterns
- Service-oriented architecture and event-driven architecture (SOA versus EDA)
- Key characteristics of event-driven patterns
- Event flow layers
- Design considerations for event-driven patterns
- Implementation variants of EDA patterns
- Types of event-driven patterns
- EDA pattern implementation in systems/processes
- Improving the performance of EDA-based processes/systems
- IBM WebSphere MQ
- Emerging trends in EDA
- References
- Summary
- Microservices Architecture Patterns
- Microservices patterns
- Remote procedure invocation (RPI) pattern
- Messaging design pattern
- Domain-specific protocol pattern
- API gateway pattern
- Service discovery pattern
- Service registry pattern
- Service registration pattern
- Event-driven architecture (EDA) patterns
- Event sourcing pattern
- Transaction log tailing pattern
- Publishing events using the database trigger pattern
- Application publishes events pattern
- Testing and troubleshooting patterns
- Access token pattern
- Service component test pattern
- Log aggregation pattern
- Application metrics pattern
- Distributed tracing pattern
- Health check API pattern
- Circuit breaker pattern
- Summary
- Patterns for Containerized and Reliable Applications
- Introduction
- Docker image building patterns
- Multi-stage image building pattern
- The pattern for file sharing between containers
- Pipes and filters pattern
- Containerized applications - Autopilot pattern
- Containers - persistent storage patterns
- Docker compose configuration pattern
- Docker container anti-patterns
- Patterns for highly reliable applications
- Resiliency implementation strategies
- Summary
- Software-Defined Clouds - the Architecture and Design Patterns
- Reflecting the cloud journey
- Traditional application architecture versus cloud application architecture
- Cloud integration patterns
- Tier/Layer-based decomposition
- Process-based decomposition
- Pipes-and-filters-based decomposition
- Service messaging pattern
- Messaging metadata pattern
- Service agent pattern
- Intermediate routing pattern
- State messaging pattern
- Service callback pattern
- Service instance routing
- Asynchronous queuing pattern
- Reliable messaging pattern
- Cloud design patterns
- Cache-aside pattern
- Circuit breaker pattern
- Compensating transaction pattern
- Competing consumers pattern
- Compute resource consolidation pattern
- Command and query responsibility segregation (CQRS) pattern
- Event sourcing pattern
- External configuration store pattern
- Federated identity pattern
- Gatekeeper pattern
- Application health monitoring pattern
- Leader election pattern
- Materialized views pattern
- Pipes and filters pattern
- Priority queue pattern
- Queue-based load leveling pattern
- Retry pattern
- Runtime reconfiguration pattern
- Scheduler agent supervisor pattern
- Sharding pattern
- Throttling pattern
- Workload distribution pattern
- Cloud workload scheduler pattern
- Cloud reliability and resilience patterns
- Cloud security patterns
- Cryptographic key management system pattern
- Virtual private network (VPN) pattern
- Cloud authentication gateway pattern
- In-transit cloud data encryption pattern
- Cloud storage device masking pattern
- Cloud storage data at rest encryption pattern
- Endpoint threat detection and response pattern
- Threat intelligence processing pattern
- Cloud denial of service (DoS) protection pattern
- Summary
- Bibliography
- Big Data Architecture and Design Patterns
- The four V's of big data
- Big data analysis and technology concepts
- Big data analysis and data science
- Big data platform
- Big data architecture landscape and layers
- Big data architecture patterns
- Big data design patterns
- Data sources and ingestion layer
- Big data workload patterns
- Data storage layer
- Data access layer
- Connector pattern
- Lightweight stateless pattern
- Service locator pattern
- Near real-time pattern
- Stage transform pattern
- Rapid data analysis pattern
- Data discovery and analysis layer
- Data queuing pattern
- Index-based insight pattern
- Machine learning pattern
- Converge(r) pattern
- Data visualization layer
- First glimpse pattern
- Portal pattern
- Mashup view pattern
- Compression pattern
- Exploder pattern
- Summary
- References
Big data analysis and data science
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