Systems | Development | Analytics | API | Testing

Jet Analytics Flyover

See Jet Analytics in Action Watch how Jet Analytics helps Microsoft Dynamics organizations connect to modern cloud platforms in hours — not months — while eliminating the fragmented data stack that slows teams down and drives up costs. This flyover demo shows how a unified, zero-access platform delivers the governed, AI-ready data foundation your organization needs, without rebuilding pipelines from scratch or starting over.

How Agentic AI and Cloudera are Transforming Crisis Response

Can AI actually save lives? In this video, see how Cloudera and Mercy Corps have partnered to put people—not just technology—at the heart of humanitarian aid. Through a two-and-a-half-year collaboration, we’ve worked side-by-side with analysts to map real-world workflows and co-create AI solutions that solve their most pressing daily challenges.

Decoding the Data Fabric: From Regulation to Runtime

Spend enough time in the data management world, and you’ll quickly encounter a flood of terminology: semantic layers, knowledge graphs, unified metadata, governance fabrics, data meshes, and, of course, agentic AI. Most organizations know these aspects matter, yet many still struggle to understand how they fit together. The problem with traditional data architecture is that it is often treated as purely technical.

Top 10 Alternatives to Manual CSV Uploads for Data Teams in 2026

Every Monday morning, someone on your team downloads a report, opens it in Excel, cleans up the column headers, removes the blank rows, and uploads it to Salesforce or Snowflake. Then they do it again on Tuesday for a different source. By Friday, half their week is gone, and the dashboard is still showing last week's numbers.

Best Data Pipeline Tools for Multi-Cloud Environments (2026)

Managing data pipelines across AWS, Azure, and GCP simultaneously is one of the most demanding infrastructure challenges data teams face today. Native cloud services like AWS Glue and Azure Data Factory solve problems within their own ecosystems, but they create friction the moment data needs to move across provider boundaries.

Real Estate Analytics Platform: When Building From the Ground Up Actually Pays Off

Most real estate and PropTech teams don’t struggle to see the value of analytics. They struggle to decide how far to go to get it. Do you build a real estate analytics platform from the ground up, or layer dashboards on top of the systems you already run? This is an expensive decision to get wrong. Built well, a custom platform becomes the backbone of how your company prices assets, prioritizes a portfolio, and reports to investors.