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The Rightstack Research DB
DZone Trend Reports and Guides provide expert thought leadership and survey insights into recent advancements in technology, how adoption of new tools or methodologies has grown over time, the challenges that exist in executing on the promises of these technologies, and what new advancements are on the horizon.
Featured Research
Q4 2023
Kubernetes in the Enterprise
Redefining the Container Ecosystem
Kubernetes: it’s everywhere. To fully capture or articulate the prevalence and far-reaching impacts of this monumental platform is no small task — from its initial aims to manage and orchestrate containers to the more nuanced techniques to scale deployments, leverage data and AI/ML capabilities, and manage observability and performance — it’s no wonder we, DZone, research and cover the Kubernetes ecosystem at great lengths each year.
Data Pipelines
Investigating the Modern Data Stack
Enter the modern data stack: a technology stack designed and equipped with cutting-edge tools and services to ingest, store, and process data. No longer are we using data only to drive business decisions; we are entering a new era where cloud-based systems and tools are at the heart of data processing and analytics. Data-centric tools and techniques — like warehouses and lakes, ETL/ELT, observability, and real-time analytics — are democratizing the data we collect. The proliferation of and growing emphasis on data democratization results in increased and nuanced ways in which data platforms can be used. And of course, by extension, they also empower users to make data-driven decisions with confidence.
Database Systems
Architecture Advancements and Data Storage Reimagined
This data-forward, analytics-driven world would be lost without its database and data storage solutions. As more organizations continue to transition their software to cloud-based systems, the growing demand for database innovation and enhancements has climbed to novel heights. We are upon a new era of the "Modern Database," where databases must both store data and ensure that data is prepped and primed securely for insights and analytics, integrity and quality, and microservices and cloud-based architectures.