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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.

Graph Databases for Beginners

A graph database is designed to enable you to visualize the relationships in your connected data. This introduction to graph databases will transform you from a present-day graph novice into a future graph expert.

With this ebook, you'll be guided through the basics of graph technology, including data modeling, imperative versus declarative graph query languages, theory and predictive modeling, graph search algorithm basics, an explanation of ACID versus BASE, and native versus non-native graph processing.

This ebook is the perfect beginner's introduction to the basics of graph technology and what it can do. It covers:

* Using the intuitive Cypher query language

* The importance of data relationships

* Key differences between graph and relational databases

* How graph technology relates to other NoSQL databases

And much more

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