Salesforce MCP: Is CRM Data Enough for Your AI Agent?

Connecting Salesforce to Claude via MCP is the advancement the SERP says it is. You authenticate once, your AI agent queries live CRM data, and you stop copying deal records into chat windows. For a Revenue Operations Manager who spent Q1 begging an admin to export pipeline snapshots, that matters.

Proving ROI on On-Premises BI: Quantify Data Security Value for CFOs and CIOs

Most teams can explain why sensitive BI data should stay on-premises. Far fewer can explain what that decision is worth in dollars. That gap matters. IT can see the control benefits. Finance wants numbers. Executives want a simple answer: what risk drops, what costs change, and what value shows up over 3 to 5 years? This is where a business case beats a technical pitch. On-premises BI can protect sensitive data, support compliance, and give teams direct control over hosting.

Redpanda vs Kafka vs Confluent: An Honest Comparison

Data streaming has moved from a niche pattern used by a handful of internet-scale companies to the default backbone for event-driven architectures, real-time analytics, and now AI pipelines. What started as log aggregation at LinkedIn has become the plumbing for fraud detection, IoT telemetry, microservices communication, and retrieval-augmented generation. Three names dominate that conversation today.

Tableflow: Turn Kafka Topics into Iceberg Tables

TL;DR: Tableflow is a Confluent Cloud feature that materializes Apache Kafka topics as Apache Iceberg or Delta Lake tables, eliminating custom data pipelines by automatically handling schematization, type conversions, schema evolution, CDC stream materialization, catalog publishing, and table maintenance.

Stop Saying "Data Governance." Say This Instead.

Stop saying "Data Governance." Start saying Data Enablement. If your team thinks governance is just red tape, you’re doing it wrong. True governance is a foundation of accountability that ensures high-quality data flows everywhere. Bring your team along on the journey. Show them that a little bit of process right now means they get to make decisions faster and better tomorrow. Trust the data. Speed up the business. Learn more from Swire Coca-Cola's Bharathi Rajan on podcast.

Why Cloudera Data in Motion? #RealTimeAI #DataInMotion

Unlock the full potential of your data fabric and accelerate your AI journey with Cloudera Data in Motion. Many organizations struggle with massive amounts of diverse data spread across different formats, vendors, and locations—whether in the cloud or on-premises data centers. Cloudera provides the scalable, performant data services needed to move and process this information in real-time. Discover how Cloudera’s open-source approach can help you unlock the power of your data anywhere.

What are the 4 Ways to Connect Excel to Snowflake

There are four ways to connect Excel to Snowflake in 2026: (1) Power Query's native Snowflake connector (the easiest, no ODBC required), (2) the Snowflake ODBC driver (most flexible for SQL control), (3) the Snowflake Excel Add-In (user-friendly, limited to newer Excel versions), and (4) a third-party ETL platform like Integrate.io (best for automation and scheduled pipelines). For most users, Power Query is the recommended starting point.