Rocket® DataEdge

DataEdge: Don’t just free your data. Empower it.

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Pat KellyRocketeer

Rocket® DataEdge

At the Gartner D&A Summit?Blog

Join Michael Curry’s session (Tue 2:15 PM)If you’re attending the Gartner Data & Analytics Summit next week (March 9–11, 2026 | Orlando, FL), add this to your calendar:Michael Curry — “From Pilot to Production: 5 Shifts for an AI‑Ready Data Estate” Tuesday, 2:15 PMA lot of us have lived the same pattern: We get an AI pilot to work well in a demo, then it hits the “pilot-to-production wall”—when trust gets questioned, data and content don’t line up, controls become a blocker, and early wins stall.Michael’s session focuses on the practical shifts leading teams are making to move beyond the barriers—especially as LLMs and agent-style workflows become more common in real operations. Expect clear language, real-world framing, and a set of actions you can take back to your desk.Michael gives name and substance to the issues practitioners see every day:No measurable trust (quality debates happen after failures) Disconnected data and content (tables vs documents vs policies) Weak usage con

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17 days ago

dspoerkeRocketeer

Rocket® DataEdge

Pin it or bin it: naming, emojis, and one-liners that make saved views irresistibleTutorial

If your saved view name reads like a filing cabinet label, no one clicks it. Microcopy is your growth hack: name it like a button people want to press.The formula (keep it simple)Name pattern: [Emoji] [Job to be done] — [Scope or threshold] (Audience if needed) One‑liner: “Why this view exists” in one sentence. Action + payoff.Naming rules that earn clicksLead with the job, not the noun. Action beats category. Keep it under ~30 characters. Truncated names don’t get love. Use consistent emojis. Pick 6–8 and stick to them. Scope it. Add “>30d,” “High,” or “This Week” so expectations are clear. If it’s personal, say so. “(Me)” or “My Queue” prevents confusion.Your emoji shortlist (use sparingly)🔎 find/triage 🚩 risk/attention ✅ done/clean 🧹 cleanup/dedupe 💤 stale/aging 📥 imports ⚙️ ops/system 🧪 test/sandboxBefore/after names with one-linersBefore: Potential Duplicates After: 🧹 Needs Merge — High Why: Highest confidence dupes first; clear 5 in 5 minutes. Before: Validation Errors

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1 month ago

Pat KellyRocketeer

Rocket® DataEdge

Hello and welcome to the new DataEdge structured data management community!DataEdge welcome/intro

It’s a privilege to post the very first message and personally welcome each of you. I’m Pat Kelly, marketing lead for the DataEdge suite of products.You’re here because you get it: Managing mission-critical data from core-to-cloud (and back) without the drama shouldn't be a nightmare of complexity, cost, or risk. That’s our shared mission, and this forum is your new launchpad. This is where the people who are actually doing it—your peers, our experts, and the sharpest minds in data replication, integration, and synchronization—hang out. Let's make your data strategy an unfair advantage!What You’ll Find Here (The High-Value Stuff)Forget endless manuals. We’re all about cutting straight to the solution and driving high-speed, high-value wins:The Cheat Codes (practical resources): You’ll get instant access to product updates, step-by-step how-tos, field-tested runbooks, and tuning tips—the exact patterns our solutions engineers use to save the day. The Squad (peer power): Connect directly

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3 months ago

Pat KellyRocketeer

Rocket® DataEdge

DataEdge Year One: Delivering data without the drama from core to cloudBlog

Rocket DataEdge just hit its one-year mark. The press release says “momentum,” “validation,” and “AI-ready.” Cool. But if you’re the person who owns pipelines, SLAs, access tickets, and the occasional 2 a.m. “why is the feed red?” message, the real question is: What changes for me?First: What does DataEdge do?In a nutshell, it makes all your data arrive while it still matters. DataEdge is an enterprise data integration platform built for the reality most of us live in:Core transactional data still lives on mainframe / legacy systems. Analytics, apps, and ML want that data in cloud / lakes / warehouses. The current solution is often a pile of ETL jobs, extra copies, and tribal knowledge.The value prop is: Deliver governed, near-real-time access to critical data across hybrid environments without melting the mainframe or creating 14 new “golden copies” no one can explain.Industry recognition: Should you care?DataEdge got nods from IDC (Vendor to Watch), Gartner (Honorable Mention), and s

1 month ago

Pat KellyRocketeer

Rocket® DataEdge

From Legacy to Leading Edge — the RDRS builder’s cut*Tutorial

Everyone’s racing on AI and analytics. Almost no one is feeding those engines with the best fuel they own—mainframe truth. That’s your opening. With DataEdge replication and synchronization (RDRS under the hood), you stream the good stuff from core to cloud without breaking prod, pin the lag graph near zero, and turn downstream teams into raving fans.Why you should careMainframe data isn’t “legacy”; it’s ground truth. When it lands in your lakehouse, warehouse, or Kafka streams, models get sharper and dashboards stop guessing. Execs don’t want slides; they want secure, explainable feeds that don’t spike MIPS or trigger audits. DataEdge is built for that job. You own the how. DataEdge is you kit to move it, serve it, and prove it — safelyWhat to build (and ship) with RDRSLog‑based Change Data Capture (CDC) pipelines: Capture mainframe Db2 changes and deliver to Kafka, cloud/object storage, lakehouse, or warehouses. Be surgical—tables, columns, and row filters only. Dev/test refresh on a

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2 months ago