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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
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.

Analyst to Engineer, Q and A on Cloud Data Warehousing

150 Downloads

The growing ecosystem of cloud companies give organizations control of their data without complex engineering, and now more analysts are becoming involved with the data pipeline and data warehousing layer of their analytics stack.

Join this conversation between an engineer and data analyst to gain a multifaceted understanding of how innovation in data warehousing and ETL have changed the agility and workflows for both roles.

In this webinar, you will learn from the perspective of a data analyst and engineer about:

• The benefits and challenges of adopting a cloud data warehouse

• New tools and approaches to modern analytics and ETL/ELT

• How to quickly and easily transition to agile analytics and iterative business intelligence

• Terminology to help analysts and engineers communicate effectively

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Date: May 29, 2018 at 01:00pm ET

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