Java architectural patterns and tools help architects to build reliable, scalable, and secure data engineering solutions that collect, manipulate, and publish data.
This book will help you make the most of the architecting data solutions available with clear and actionable advice from an expert.
You’ll start with an overview of data architecture, exploring responsibilities of a Java data architect, and learning about various data formats, data storage, databases, and data application platforms as well as how to choose them. Next, you’ll understand how to architect a batch and real-time data processing pipeline. You’ll also get to grips with the various Java data processing patterns, before progressing to data security and governance. The later chapters will show you how to publish Data as a Service and how you can architect it. Finally, you’ll focus on how to evaluate and recommend an architecture by developing performance benchmarks, estimations, and various decision metrics.
By the end of this book, you’ll be able to successfully orchestrate data architecture solutions using Java and related technologies as well as to evaluate and present the most suitable solution to your clients.

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Spis treści

Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java eBook -- spis treści

• 1. Basics of Modern Data Architecture
• 2. Data Storage and Databases
• 3. Identifying the Right Data Platform
• 4. ETL Data Load - A Batch-Based Solution to Ingest Data in a Data Warehouse
• 5. Architecting a Batch Processing Pipeline
• 6. Architecting a Real-Time Processing Pipeline
• 7. Core Architectural Design Patterns
• 8. Enabling Data Security and Governance
• 9. Exposing MongoDB Data as a Service
• 10. Federated and Scalable DaaS with GraphQL
• 11. Measuring Performance and Benchmarking Your Applications
• 12. Evaluating, Recommending, and Presenting Your Solutions