Scalable Data Architecture with Java
This is a must-have book for developers and architects who want to understand the core skills that a Java professional should have to become a data architect in order to create effective architectures. You’ll be able to pick up industry best practices if you’re an aspiring Java data architect who wants to easily achieve their goal.
Offered by
Difficulty Level
Intermediate
Completion Time
12h44m
Language
English
About Book
Who Is This Book For?
Data architects, aspiring data architects, Java developers and anyone who wants to develop or optimize scalable data architecture solutions using Java will find this book useful. A basic understanding of data architecture and Java programming is required to get the best from this book.
Scalable Data Architecture with Java
- About Book
- Who Is This Book For?
- Book Content
Book content
12 chapters • 12h44m total length
Basics of Modern Data Architecture
Data Storage and Databases
Identifying the Right Data Platform
ETL Data Load - A Batch-Based Solution to Ingest Data in a Data Warehouse
Architecting a Batch Processing Pipeline
Architecting a Real-Time Processing Pipeline
Core Architectural Design Patterns
Enabling Data Security and Governance
Exposing MongoDB Data as a Service
Federated and Scalable DaaS with GraphQL
Measuring Performance and Benchmarking Your Applications
Evaluating, Recommending, and Presenting Your Solutions
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