Consumer and Retail
The Case for Modern Data Warehouses on the Cloud
Data warehouses are business intelligence systems used to enable reporting as well as data analysis. As such, they can help any data-driven business understand and improve upon the user’s business model.
Testing in Production: A New Paradigm for Shift-Right
Testing in production (TiP) lets a software development (Dev) and IT operations (Ops) team prepare for possible bugs. It’s also helpful in analyzing the user’s experience.
Next-Generation Architecture Best Practices
The next-gen architecture practices above can be adapted to any project at any scale, offering several benefits to the project’s maintenance.
The Happy Data Platform: A Personified Perspective (Part II)
The objective of a data platform is to eventually enable purposeful, actionable insights that can lead to business outcomes.
The Importance & Essentials of Crafting Insights in Design Research
Insights also help establish an emotional connection with the problem faced by end-users. It helps bring all the stakeholders who are part of the problem-solving activity on the same page by articulating a common goal.
6 Key Advantages of Quarterly Agile Planning
What is quarterly agile planning? Can correct quarterly planning can help you effectively accomplish all of the objectives below?
Infrastructure Security Considerations for Edge Computing
As enterprises adopt IoT concepts and edge computing, security is a top concern. See how businesses can provide infrastructure protection for edge devices.
Time Series: Data Analysis & Forecasting
Learn about the characteristics, databases, visualizations and machine learning models driving modern day time series analysis and forecasting.
Secure Development Lifecycle: Importance & Learning
Secure development lifecycle (SDL) provides best practices to implement security during software development. Learn about the challenges and methods behind SDL.
The Happy Data Platform: A Personified Perspective (Part I)
This blog identifies the common expectations that Data Engineers and Data Consumers have for a data platform, and it demonstrates how to meet these expectations.
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Adaptive and Intuitive Design: Disrupting Sports Broadcasting
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