Martin Kleppmann Designing Data-Intensive Applications Distributed Systems Book
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Martin Kleppmann Designing Data-Intensive Applications Distributed Systems Book
Authored by Martin Kleppmann, Designing Data-Intensive Applications serves as a technology manual centered on distributed computing, scalable software architecture, and data systems. This volume investigates the foundational principles and design choices involved in building applications that handle, process, and retain large data sets.
The publication reviews subjects connected to databases, storage frameworks, distributed structures, and data processing tech. The text is structured to assist readers in grasping how individual components of data-driven networks work together to maintain performance, stability, and scalability within intricate computing setups.
Users can examine notions linked to data models, storage engines, data replication, partitioning, consistency models, fault tolerance, and structural reliability. Furthermore, the volume details stream processing, batch execution frameworks, and structural methods applied in software and data engineering workflows.
Aimed at software builders, system architects, code creators, and IT specialists, this text delivers targeted coverage of distributed system design and data-intensive application architecture.
Topics Covered
- Data models and database concepts
- Storage engines and data management
- Distributed system architecture
- Replication and partitioning strategies
- Consistency and reliability concepts
- Fault tolerance principles
- Scalable application design
- Stream processing methods
- Batch processing techniques
- Modern data architecture approaches
Product Details
- Author: Martin Kleppmann
- ISBN-13: 9781449373320
- ISBN-10: 1449373321
- Title: Designing Data-Intensive Applications
- Language: English
- Category: Software Engineering
- Subject: Data Architecture and Distributed Systems
Product Type
Software Engineering