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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
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Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

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Data and Analytics

Getting to a place where a dashboard can be effective for all end-users, regardless of their understanding of data manipulation and analysis, is easier said than done.

To help you avoid common pitfalls, make the most out of your datasets, and create robust visualizations, we’ve sought the opinion of experts in the industry to share their knowledge on what it takes to up your data analytics toolset in 2020.

Published: Mar. 26, 2020

Featured Authors

Christopher Lamb
Principal Member of Technical Staff, Sandia National Laboratories
Dmitry Pashkevich
Senior Fullstack Engineer, Calendly
Terence Shin
Founder, ShinTwin

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