Ultimate Guide to ESG Reporting
Environmental, social, and governance (ESG) reporting is no longer just a rising trend—it’s a fundamental part of how companies demonstrate accountability, resilience, and long-term value. Investors, stakeholders, and regulators have made it clear: ESG performance is now inseparable from financial performance.
Fivetran Connector SDK: Unlocking every data source
Start replicating from any and every source system with the Connector SDK.
Tech, talent or trust: What's holding back AI adoption the most?
Tech, talent or trust: What’s holding back organizations from AI adoption the most? Along with exploring that question, in this short video, Practice Director for Data Management, Analytics & AI at Informa TechTarget’s Enterprise Strategy Group, Michael Leone, discusses AI adoption with Hitachi Vantara leaders, including: The video also explores exciting AI use cases, the data issues hindering AI and tips for measuring the success of your AI initiatives.
AI initiatives and obstacles: How to stay competitive
By failing to adopt AI and modern data strategies, companies risk falling behind. According to Informa TechTarget’s Enterprise Strategy Group (ESG), 86% of enterprise-class organizations are planning to invest at least $1 million in data and AI initiatives. To help your business keep up, in this video ESG’s Practice Director for Data Management, Analytics & AI, Michael Leone, explores how to build a trusted data foundation, the biggest data challenges faced by companies, and much more.
Introducing the Agentic Semantic Layer: A New Standard for Data Foundations
For data analysts and engineers, the journey from raw data to actionable business insights for business users is never as simple as it sounds. The semantic layer is a critical component in this process, serving as the bridge between complex data sources and the business logic required for informed decision-making. However, not all semantic layers are created equal, and the evolving landscape of AI-powered analytics demands a new approach.
What's new in Cloudera Data Flow 2.10: Easily Build and Deploy NiFi 2 Flows
Learn about all the new NiFi 2 features in Cloudera Data Flow 2.10, including NiFi 2 General Availability across Flow Drafts, Deployments and Test Sessions and our brand new NiFi 1 to NiFi 2 Migration Experience (Technical Preview)!
The 5 Levels of Data User Sophistication We See in the Market
At Integrate.io, we work with hundreds of companies, primarily midmarket and enterprise organizations ranging from agile RevOps teams to global enterprises with complex, multisource data ecosystems. Across these engagements, we’ve noticed something consistent: the way people work with data tends to fall into a handful of distinct, predictable levels. It’s not about company size, tech stack, or vertical.
Data Integration Architecture: Blueprint for Insights
In today’s fragmented and high-velocity data environment, data integration architecture is not just a technical framework—it’s a strategic imperative. As businesses increasingly rely on insights drawn from multiple systems, the need for a robust and scalable architecture that governs how data is collected, processed, and delivered has never been greater.
Pipeline Data for Fueling Analytics, & Business Strategy
In modern data architecture, it’s tempting to focus on flashy dashboards, real-time data AI models, or the scalability of cloud warehouses. But these are only as good as the fuel behind them: pipeline data. This post unpacks what pipeline data really is, why it matters, how it moves through your architecture, and what to do to protect and optimize its value.