Scalable Data Architecture with Java

Table of Contents

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