Cube

Power BI users, stop relying on Import Mode. Join us on March 12 at 9:00 AM PDT to learn how Cube’s DAX API enables real-time live connections between Snowflake and Power BI—boosting performance, governance, and ease of use. 🎤 Featuring experts from Cube and Snowflake: - Brian Bickell, VP of Strategy & Alliances, Cube - Tony Kau, Senior Partner Solutions Architect, Cube - Keith Smith, Principal Partner Solution Engineer, Snowflake Register now: https://gocube.co/3FbFvNW

Struggling with slow queries, rigid data models, or ETL bottlenecks? You’re not alone. Transactional (OLTP) systems excel at capturing data but fall short for analytics. Traditional dimensional modeling (like Kimball’s Star Schema) solves this—but at the cost of weeks of ETL and data duplication. Whether you’re modernizing a legacy warehouse or building real-time analytics, Cube bridges the gap between transactional agility and analytical depth. 📖 Dive into John Korcak’s latest blog to rethink dimensional modeling for the AI-driven age: https://gocube.co/4khfQnk #DataModeling #OLAP #DataAnalytics #CloudComputing #DataEngineering

Many AI initiatives never make it past the experimentation phase. Why? 🔸 Data fragmentation—Insights are built on siloed, inconsistent data 🔸 Governance gaps—No single source of truth for AI & BI 🔸 Scalability issues—Pilot projects work, but enterprise-wide AI doesn’t At @Gartner Data & Analytics Summit, we’ll explore how our universal semantic layer solves these challenges —helping organizations move beyond AI pilots to measurable business success. If your AI strategy is stuck in pilot mode, this session is for you. 📅 March 5 | 1:05 PM – 1:25 PM 📍 Theater 3 🔗 Learn more: https://gocube.co/43bwiiQ #AI #BI #DataAnalytics #GartnerDA

We’re thrilled to unveil Cube’s DAX API + Excel Add-in, designed to supercharge analytics for Microsoft users. 🔗 Secure your spot now and modernize your data stack. https://hubs.la/Q035SRL_0

The countdown is on. We’re heading to Orlando for #GartnerDA!  📍Visit us at Booth #931 to discover how our semantic layer helps teams move from AI experimentation to measurable business impact. 🎤Attend our session on Scaling AI | March 5, 1:05 PM EST | Theater 3 Learn More 🔗 https://gocube.co/3ESt89E See you there.

🚀 Check out Cube’s latest integrations: DAX API and Cube Cloud for Excel. These new features add to our already extensive list of APIs so that you can model you data once and deliver it anywhere. Cube’s Data APIs are used to run live queries against the data models you define centrally, rather than making a direct database connection or moving your data. This allows you to share and reuse models instead of re-modeling in every tool. 🟣 SQL API: Postgres-compatible protocol to BI tools. 🟣 REST API: HTTP protocol to embedded analytics apps 🟣 GraphQL API: HTTP protocol to GraphQL-enabled data apps 🟣 DAX API: Native interface for Microsoft Power BI 🟣 MDX API: Native interface for Microsoft Excel 🟣 AI API: Integrate with LLMs for text-to-semantic layer queries 🟣 Cube Cloud for Sheets: A Google Sheets Add-on 🟣 Cube Cloud for Excel: An Excel Add-in Learn more at https://lnkd.in/eGScaDxB #dataengineering #dataanalytics #AI #BI #semanticlayer #singlesourceoftruth #datamodeling

Cube Launches Cube Cloud for Microsoft Enterprises https://lnkd.in/dr7rdQcs #AITech365 #analytics #Cloud #Cube #Microsoftanalyticssuite #MicrosoftExcel #MicrosoftPowerBI #news #semanticlayerplatform

Nice feature in CDO Magazine this morning about our recent expansion of our Microsoft ecosystem support - including the new DAX API for Power BI and Cube Cloud for Excel Add-in. Our engineering team here does all the heavy lifting and I get the fun job of telling you all about what we're doing, and going to market with our wonderful partners to solve customer problems. I'd say I get the better part of that bargain! https://lnkd.in/gy_fujCM

Are you juggling fragmented security models across BI tools, warehouses, and APIs? Security sprawl isn’t just inefficient—it’s a risk. In his latest blog, Michael Treadwell, Cube’s Head of Sales Engineering, breaks down why decentralizing security leads to gaps (think: unsecured BI extracts, AI data leaks) and how Cube’s universal semantic layer is the solution. Here’s the TL;DR: ✅ Centralized Security: Define access once in Cube—applies to all consumers (SQL, REST, GraphQL, even AI). ✅ Pre-Aggregations, Secured: Protect extracted BI data with role-based rules, not brittle warehouse policies. ✅ Code-First Governance: Version control security models and enforce PR approvals. No more chaos. 💡 Key takeaway: The semantic layer isn’t just for simplifying queries—it’s the logical place security belongs. 📖 Read the full blog to see how Cube transforms security from a fragmented headache into a unified system: https://hubs.la/Q037zQlQ0 #DataEngineering #DataSecurity #SemanticLayer