Systems | Development | Analytics | API | Testing

Stop Cloud Complexity: Extending the Cloud Experience Anywhere

Today’s enterprises face immense pressure: scaling fast, staying compliant, and unlocking AI-driven insights—all while fighting siloed data and growing cloud complexity. There is a better way forward, and it starts with Cloudera’s vision for the cloud experience anywhere. Cloudera is the only data and AI platform that delivers the cloud experience anywhere—public clouds, data centers, and the edge—bringing unified security, governance, and control to data wherever it resides. Access 100% of your data for AI-driven insights and future-proof—not just modernize–your enterprise data strategy.

Write Salesforce Data Faster with Integrate.io Salesforce REST API Destination Connector

Insert, upsert, update, and delete records in Salesforce through the REST API, in throttled single-record or batched write modes, with per-record success and failure output on every run. Salesforce is the system of record for sales, service, and customer data at most B2B companies. Sales operations teams push lead and opportunity updates into it. Customer success teams sync account health scores.

14 Best KPI Dashboard Software Tools to Use in 2026

Having access to the right information at the right time isn’t just a luxury for modern businesses anymore—it’s a necessity, and KPI dashboard software is the key to making it happen. And that’s where KPI dashboard software comes into play. These powerful tools can transform raw data into clear insights, helping companies make informed decisions both quickly and effectively. But with so many options available, how do you choose the right one for your needs?

Free Satellite Imagery for Machine Learning and Big Data Pipelines

The expansion of public satellite fleets has turned Earth observation into a true Big Data playground. What once required dedicated GIS servers can now be handled by cloud tools that pull fresh imagery continuously without breaking project budgets. This sudden abundance of open rasters completely changes how products get built. Having steady access to free satellite data for download and analysis allows engineering teams to test new ideas, train computer vision models, and scale geographic coverage fast, without paying a cent for raw image feeds.

The Data Differentiator: Vanguard's Playbook for AI-Ready Data

Semantic layers and ontologies have moved from nice-to-have data modeling tools to the foundational engine required for enterprise AI. In this episode, Raman Tallamraju, Senior Director and Head of Enterprise Data Architecture and Engineering at Vanguard, breaks down how Vanguard is architecting its AI semantic layer to turn scattered institutional knowledge into reliable, agent-ready context. He shares why autonomous agents expose decades of hidden data debt, how to bridge domain-specific definitions like clients versus prospects, and how to balance building a unified semantic layer with a pragmatic, federated data operating model.

From Intent to Data Product: Pipelines, Agents & MCP

The challenge for most data teams isn’t a lack of ideas—it’s the time it takes to turn those ideas into something usable. In this session, Steffen Bischoff, Chief Architect Data at Qlik, follows a single dataset from a core system through its entire journey to becoming a governed data product. You’ll see pipelines created by describing intent instead of writing code, versioned in Git, then curated, quality-checked, and documented with the help of specialized agents. From there, the data product is made available to the AI tool of your choice through the Qlik MCP Server.

Vibe Coding to Production: Building AI Apps That Actually Scale

Now that AI coding tools have put development capabilities into more hands, prototypes are becoming business-critical applications almost overnight. Shanea Leven sees an opportunity for a new generation of builders, provided the infrastructure around their applications keeps pace. Shanea explains how organizations can give developers and new technical employees room to build while maintaining the standards required for enterprise software..