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Organizations have mastered collecting and storing vast amounts of data in cloud data warehouses like Snowflake. This central repository has become the single source of truth for analytical insights, business intelligence, and reporting. However, the true potential of this data remains trapped if it's confined to the warehouse, creating a disconnect between rich analytical insights and real-time operational systems.
True embedded analytics isn't about dashboards; it's about giving your users the confidence to act. It's about turning your application into the one place where data becomes a story, and differentiating it from those that lack a cohesive narrative. This guide explores how smoothly or painfully different BI platforms let you connect, embed, and share analytics within your product.
This month's Snow Report provides details on some recent product announcements, including Snowflake Knowledge Extensions and Snowflake Intelligence. You'll also find news about upcoming events, links to sessions from Summit 2025, user stories, tech tips, and more.
As businesses race to become data-driven, the ability to quickly build and iterate on data workflows is more critical than ever. Traditional ETL and ELT processes, while powerful, often require extensive coding, long development cycles, and high maintenance overhead. Enter low-code data pipelines: a modern, visual-first paradigm enabling faster development, broader accessibility, and better scalability.
Enterprise data pipelines are no longer mere support systems—they are strategic assets central to analytics, compliance, and operational intelligence. This article offers a comprehensive overview of how enterprise ETL pipelines work, the technologies involved, common challenges, and best practices for implementation at scale in 2025.
What if prepping, integrating, and modeling your data was as simple as chatting with an AI agent? No complex configurations. No steep learning curves. Just fast, intelligent results powered by natural language and agentic AI. In Episode 3 of the Round Table Series, we explore why an Agentic Data Management Platform is the next generation of data technology. It is smarter, faster, and fully autonomous.
Step inside the world of data innovation as Cindi Howson talks with Josh Cunningham, Group Head of Data and AI Culture at @lloydsbankonline. They'll explore how this distinguished institution is driving forward with cutting-edge AI. Discover how Lloyds is rapidly expanding its data and AI graduate scheme and pursuing an ambitious quest to become the "most data literate bank". Hear how innovative initiatives like the "Data and AI Summer School" and a physical "Data Escape Room" are used to teach "learning by stealth", propelling their business forward on data and AI.
Forward-thinking data leaders are using automation, real-time data movement, and genAI to personalize customer experiences, optimize operations, and unlock scalable innovation.