Systems | Development | Analytics | API | Testing

Cloudera Account 360: New Self-Service Administrative Platform Demo

Cloudera Account 360 is designed to resolve this by providing a single pane of glass from which customers can manage their users and accounts. It offers robust, flexible, and secure account as well as user management capabilities, helping you avoid delays by eliminating the need to raise support cases with Cloudera for simple administrative tasks. Foundational Features Available Now Cloudera Account 360 includes two core feature sets.

Ep 60 | How AI FOMO and Lost Focus on Culture Harm ROI with Jen Stirrup

As AI and BI projects race to deliver quick wins, many organizations overlook what truly determines long-term success: the people behind the data. In this episode of The AI Forecast, Jen Stirrup, author, speaker, and founder of Data Relish, joins host Paul Muller to dissect the difference between data literacy (reading the numbers) and data fluency (speaking the language of business). Jen challenges the industry’s obsession with AI FOMO, warning that rushing to deploy models on shaky cultural foundations is the fastest way to derail ROI.

How Nasdaq Architected a $90 Trillion Data Ecosystem

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq’s CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.

Microsoft Access Loses Salesforce Connector - Here's Your Replacement Plan

Microsoft retired the Access Salesforce connector in October 2025. Here's how to keep your data flowing with the Simba Salesforce ODBC Driver. If you've been using Microsoft Access to connect to Salesforce, you need a new solution. The good news? Simba has been powering Microsoft's Salesforce connectivity under the hood for years. Same proven driver, same reliable performance. The switch is simple: update one connection string and your queries keep running, your reports stay intact, and your stakeholders don't even need to know anything changed.

Meet Qlik Answers

Discover how Qlik Answers transforms the way teams work with data. As part of Qlik’s newly released agentic experience in Qlik Cloud, Qlik Answers brings together natural language interaction, the power of the Qlik Analytics Engine, and governed, trusted data, all supported with transparent reasoning and citations.

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?