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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Moving to an Agile, Flexible Data Model Based on JSON Documents

521 Downloads

Global 2000 companies are increasingly choosing NoSQL databases to power their digital economy applications. That means developers need to model data in a more object-centric fashion. How do we move from a constrained, table-driven model to an agile, flexible data model based on JSON documents?

This webinar is intended for architects and application developers who want to experience a new JSON document data modeling approach. We’ll show you how to get started building a JSON document data model, migrate a table-based data model to JSON documents, optimize the model to enable fast query performance.

We’ll also provide experience-based advice and best practices for modeling JSON documents, including:

●Leveraging the flexibility of JSON
●When to embed or not to embed objects in your JSON document model
●Data modeling using a practical data access pattern approach
●Indexing your JSON documents
●Querying your data and using JOINS with N1QL (SQL for JSON)

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Date: June 19, 2019 at 01:00pm ET

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