Systems | Development | Analytics | API | Testing

Qlik for Snowflake - From Ingestion to Insights

In partnership with Snowflake, Qlik helps customers modernize data estates end to end—from ingestion to insight—using Qlik Talend Cloud Data Integration and an internal data marketplace. With no‑code/SQL pipelines, thousands of secure connectors, and built‑in governance and lineage, Qlik automates trusted data movement into Snowflake and turns it into certified, reusable data products—an “app store for insight”—that accelerate time to value and power advanced analytics and AI.

A Memory-centric Approach to System Strategy: 6 Takeaways from Supercomputing 2025

Artificial intelligence workloads are reshaping how memory is produced, priced, and prioritized. Not because the supply chain has fundamentally broken, but because manufacturers are making deliberate decisions about where to place capacity and capital. Wafer lines are being steered toward high-margin, long-term AI demand, not toward broad, undifferentiated expansion. HBM, advanced DRAM, and other AI-optimized memory now command the majority of investment and forward planning.

Build vs. Buy: Why Embedded Analytics is the Strategic Choice for Modern Data Leaders

For today’s CTOs and CIOs, the pressure to deliver actionable data insights within your products has never been higher. However, a critical dilemma often stalls your progress toward the business intelligence tools you need for the task: Should your engineering team build a bespoke analytics engine from scratch, or should you integrate a professional embedded solution?

From Raw Data to Strategy #OnTheSpot in Under 3 Minutes

"I’ve worked in the analytics industry for 25 years... this thing makes me as powerful as any analyst I’ve ever met." When ThoughtSpot’s Tony Hammond handed a raw dataset to Spotter, our agentic AI analyst, he wasn't just running a demo—he was witnessing a with a complete transformation of the analytics workflow.

A New Way to Run Pipeline Analysis #OnTheSpot

Jeffry Cape, our Senior GTM Enablement Manager, asked Spotter: "Look at our early stage pipeline generation performance from the dates of Shark Week in November and share what some of the best practices are". He wasn’t checking campaign stats—he was rewriting his daily workflow. A dashboard might tell you meetings are “up.” Spotter went further—running a hands-free deep dive on our global Shark Week program and surfacing what actually moves the needle on pipeline progression.

Snowflake Build London Keynote

Tune into the BUILD London Keynote. Hear what’s new from Snowflake - Shared Workspaces and the GA release of Cortex Code to Snowflake Postgres, semantic view autopilot, and interactive workloads for low-latency analytics. See demos across Snowflake ML, including notebooks in Workspaces, model registry, and online inference, plus how Cortex Agents API and Snowflake Intelligence help teams build trusted agent apps. The keynote also covers Snowflake’s partnership with OpenAI and why governance stays central as AI moves from answers to action.

Unifying Snowflake & Apache Iceberg in Logi Symphony via Simba's ODBC Driver

How do you connect Snowflake and Apache Iceberg to embedded analytics without adding complexity? In this video, we demonstrate:→ Setting up the Simba Snowflake ODBC driver via system DSN→ Why pushdown queries matter for performance→ Building governed, reusable metrics in Logi Symphony→ Delivering fast, interactive dashboards on live retail data The result: unified sales and inventory analytics without the ETL pipelines, Python scripts, and custom services that create support headaches.

Ep 59 | The Secret to Creating the Cloud-Like Experience Anywhere with Adam Skotnicky

Data complexity is the enemy of innovation. Adam Skotnicky, VP of Engineering at Cloudera and founder of Taikun (acquired by Cloudera), joins host Paul Muller to explain how engineering teams can reclaim simplicity without sacrificing flexibility or control. Together they unpack why most teams are overwhelmed by tooling and operational overhead, how platform engineering can abstract complexity away from users, and what it really means to deliver “cloud-like” agility across hybrid environments.

How to Cut BI Ticket Backlogs with AI-ETL for Self-Serve Analysts

Your BI team didn't sign up to spend 69% of their time on repetitive data preparation tasks. Yet this is the reality for most data teams drowning in support ticket backlogs while strategic initiatives languish. Every hour spent manually updating schemas, troubleshooting failed data loads, or running ad-hoc queries is an hour not spent on the analytics that actually drive business decisions.

Why Enterprise AI Projects Fail - The Token Predictor Problem Executives Don't Understand

Why do large language models hallucinate? It's not a modeling problem. It's a data and context problem. This video breaks down why AI fails in enterprise environments and what it takes to get reliable, verifiable answers from your AI systems. When AI doesn't have governed access to live data, no understanding of your business rules, and no guardrails to keep it grounded, hallucinations aren't just likely. They're inevitable.