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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.

Redshift at Lightspeed: How to Continuously Optimize and Modify Redshift Schemas

410 Downloads

As the volume and variety of data continue to grow more and more companies need to implement scalable big data infrastructure that transfers, manages, and analyzes their data in order to support analytics and insights. Developing, maintaining and scaling these technological terrors fall on the shoulders of developers.

Creating infrastructure that can deal with your unique needs, is user-friendly, and scales with the influx of data that your company generates is a major hurdle to overcome. We will show you how to use cost-effective, and infinitely scalable data pipelines and management platforms built on top of Redshift, resulting in a simple but powerful data platform tailored to your company.

Hosted by DZone
Date: June 28, 2017 at 02:00pm ET

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